SDSC/open-pulse-hackathon-data-analysis huggingface dataset:
Project: It’s not about winning
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Indira Fömmel, Leonard Eyer, Gero Embser
Awards: 3rd place overall, AXA challenge winner

"It’s not about winning" is a cutting-edge app designed to transform disputes into cooperative and goal-oriented conversations. By analyzing conflicts in real-time through audio files, it detects emotions and offers personalized communication advice. The app encourages effective... (hover for more)
Project: Speaker Notes
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Camille Challier, David Friou, Marianne Scoglio, Wesley Monteith
Awards: AXA challenge winner

Automatically transcribe the audio and annotate each slide of a presentation with the speaker's commentary summarized in the from of note, from any type of recordings of the presentation (mp4 file format), as well as the pdf of the presentation.
Project: Lauzcom Assistant
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Carmen Marcos Sánchez de la Blanca, Daan Rosendal
Awards: Swisscom challenge winner

A genius customised GPT-powered chatbot that can extract Swisscom's juiciest secrets faster than you can say "chocolate fondue" at a Swiss ski lodge.
Project: SwisscomQuest: Unlock the Enigma of Swisscom Expertise
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Mohamed Amir Braham, ilyes Hammouda, Jasser Rouis
Awards: Swisscom challenge winner

Ask your Swisscom-related question in Italian, French, German, or English, and utilize our specially designed tool that provides answers and gathers information on a unique webpage. Enjoy!!!
Project: DistilLM: The Sales Support Employee You Wish You Had
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Gabriel Agerholm Ruge, Ihchae Ryu, Keita Hidaka

Applying LLMS to distill and summerize costumer reviews, embedding and clustering them using classical NLP methods and finally applying using LLMS to summarize and humanize the output. First hackathon ⊂(◉‿◉)つ
Project: Elastic Review Review
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: David Dinucu-Jianu, Neel Lodha, Paul Misterka, Yigit Colakoglu Colakoglu

Amazon Elastic Review Review (ER2) shortens and clusters your product reviews to make them readable and actionable
Project: FitHeart with Kangi
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Abigail Levison

A friendly app for HCM patients to mainly receive guidance about sports and physical activity based on pulse/oxygen data from a patient's wearable device, questionnaire answers about how the patient is feeling today, and ECG data uploaded by the patient.
Project: Helvetrip
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Dylan Vairoli, Ugo Balducci

Discover the beauty of Switzerland effortlessly with the Helvetrips travel companion. Our website offers a solution for planning your public transport journeys and seamlessly integrates with SBB parking options near stations. You will receive recommendations for the optimal combi... (hover for more)
Project: IdeaFusion
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Hoang Sao Mai Le, Mario Rosas Otero, Natalia Sanchez, Stefan Taga

Our project focus on a normal user. For example, imagine you have a to do a presentation, understand something without reading a text, or send something on telegram, all that really quickly. It how we came up with our powerful productivity tool we've been working on — Loudepeck:... (hover for more)
Project: LogiMood
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Evan Massonnet, Roman Danylovych, Yasmin Ben Rahhal

Application leveraging data collected from the user's keyboard and mouse activity to infer their mood in order to calm them, wake them up or help them focus by emitting different light patterns on the litra lamp.
Project: P+R Pathfinders
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Alexandre Piveteau, Matthieu Burguburu, Victor Schneuwly, Zacharie Tevaearai

A platform where you can chat with an assistant to create the trip of your dreams, using P+R from SBB CFF FFS !
Project: Why insure me?
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Andreu Pérez Torra, Gerard Monsó, Faysal Badaoui Mahdad Faysal, Pere Muñoz

A web application that given an initial situation, generates a story of possible events that would require the protagonist to have an insurance.
Project: A2B
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Farah Briki, Khalil Achache

This app seamlessly integrates all available means of transportation in a city to provide users with a comprehensive and efficient travel plan. Users can input their destination and preferences, such as the fastest route, the option with the least number of transfers, or eco-friendly choices.
Project: Gustavo
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Lorenzo Drudi, Luca Domeniconi, Ludek Cizinsky, Mika Senghaas

SBB is a leading Swiss mobility provider with around 34,000 employees and 1,900 train drivers which ensures that around 1.25 million passengers reach their destination safely and on time every day. In this project, we focus on coming up with a prototype of a routing engine that c... (hover for more)
Project: OpenLogs Lauzhack
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Joffre Alcivar Riera, Pau Carulla Lechosa

Tired of analizing log data by yourself? Try out https://t.me/openlogslauz_bot and unleash the power of technology by delegating tasks to LLMs
Project: Trip bot
Hackathon: LauzHack 2023 (EPFL, Lausanne, Switzerland, December 2-3)
Team: Ewa Miazga

We created a bot which would help us to plan our trips. The user can provide a starting point and final destination. Then it gives the attractions on this route which are fun to visit. Project created by Ewa Miazga, Karolina Tofil and Bernard Smogór.
Project: Converge: AI agents for meetings that deliver
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Gilles de Waha, Nicolas Cuveillier, Omar El Malki
Awards: 1st place overall

Our goal is to leverage AI agents in order to simplify meeting orchestration and reduce time for decision-making. Let agents prepare meetings in advance and use meetings for quick decision meetings.
Project: Chronica
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Alejandro Hernández Cano, Arvind Menon, Lars Quaedvlieg, Somesh Mehra
Awards: 2nd place overall

An offline AI enabled journal that converts voices notes into structured journal entries. It also allows you to interact smartly with your notes using advanced searches and augmented generation.
Project: MakeGreatBox
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Aleix Rosinach, Joel Ros Peropadre, Oscar van de Crommert Rodoreda, Pol Llinàs
Awards: Organizers' prize, Bobst challenge runner-up

Web based solution to the Bobst challenge by: Aleix, Joel, Oscar & Pol from LleidaHack
Project: Cassadagapp
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Ayman Barakat, keita jacopo vigano', Sara Borello, Amir Mohammad Farhang
Awards: BMS challenge winner

A platform for forcasting information based on historical information with AI collaboration and specific medical interpolation, which consider all kind of market aspects for biochemical compounds from sales to side effects, helpful to analyze products with historical info or newl... (hover for more)
Project: Safe Machine Control & Monitoring (Unity+Chatbot)
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Arnau Claramunt, Genís López, Jaume López Molina, Pau Mayench
Awards: Bobst challenge winner

A real-time 3D interface built in Unity, visualizing a conveyor belt equipped with sensors, and enabling direct control of the machine's state. Integrated with an AI-powered chatbot assistant, the system responds to user queries based also on the machine's current state, providin... (hover for more)
Project: Architect VR floorplan live preview generator
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Abdelmadjid Sadou, Kalil Sama Bouzigues, Younes Laribi, Zakaria Laribi
Awards: Logitech challenge winner

Allows architects to draw floorplans and generates 3D models based on the drawings, and allows them to invite clients and collaborators to give feedback on or add to the design.
Project: Any Question, Any Place
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Jakhongir Saydaliev, Kamel Charaf, Mikuláš Vanoušek, Sébastien Delsad
Awards: AXA challenge winner

Any Question Any Place is a platform to solve tasks with LLM and CV in an interactive way. For example the input is (1) satellite image of storage tanks, (2) a question about the image, e.g. “how many storage tanks are there with >5m diameter”?. LLM acts as an expert to response... (hover for more)
Project: UBS - Lauzhack
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Abhijeet Sharma, Anastasiia Petrovych, Anna Polova, Wafiq Chahboun
Awards: UBS pitching award

UBS, one of the world’s leading global banks, processes millions of transactions daily. Each of these transactions involves external counterparties—other entities that UBS clients transact with. But here's the catch: these counterparties often appear under different names, identi... (hover for more)
Project: PizzaClusterMandolino
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Alex Colagrande, Eugenio Cainelli, Lorenzo Luccioli, Michele Smaldone
Awards: UBS innovation award

We use a pretrained sentence-transformer to embed the external users data and then apply clustering techniques over the embeddings in order to group external parties
Project: AnimInk: Collaborative MR Character Animation
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Dylan Vairoli, Tuan Dang Nguyen

An immersive mixed reality (MR) application for character animation prototyping. Animators use the Logitech MX Ink stylus to interact with 3D models of a character, selecting and annotating body parts. Multiple animators can collaborate together in real-time on the same mesh.  Th... (hover for more)
Project: BMS - Demand forecasting Dashboard
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Arthur Prahin, Stefan Peters, Victor Rydmark

Our project is an interactive dashboard designed to forecast Bristor's demand volumes and simulate the impact of various marketing events on future demand. By leveraging Facebook's Prophet time series forecasting model and an interactive Dash application, we provide a powerful to... (hover for more)
Project: BMS_LSTM
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Corentin Caillaud, Joseph Bruneau

Our project aims to develop a predictive model for pharmaceutical sales data to enhance supply chain efficiency and minimize shortages. By leveraging machine learning algorithms, we analyze historical sales trends, seasonal variations, and external factors such as regional demand... (hover for more)
Project: Boatracker
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Elie BRUNO, Matéo-Francisco Willaime-Freiria, Simon Defrenne, Matya Aydin

We want to give answers to requests such as "how many boats passed today/yesterday/x day in the last hour"
Project: Bobst Project Team 10
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Chloé Tan, Mathieu Vanoirbeek, Ulysse Guye-Vuillème

Create a conveyor belt (raspberry pi and electrical components) that collects data and sends it to a central Azure IoT Hub for visualization
Project: Dignity Team
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Carlos Hurtado, Daniel López Gala, Mario Rico, Lan Tran

This project focuses on resolving financial entities by using Local Sensitive Hashing (LSH) to efficiently identify and match similar non-UBS entities in transaction records. It is designed for the financial industry, where precision and scalability are paramount.
Project: Fake detection plugin
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Ewa Miazga, Karolina Tofil, Maksym Ziemlewski, Stanisław Howard

Our idea is to a create a tool that will raise awareness of misinformation and fake news. We want to create a browser plugin that will make use of local models to analyse the texts of the articles for sentiment analysis, fake news possibility, emotion analysis in real-time. This... (hover for more)
Project: LIDARXP
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Alessandro Di Maria, Eleonora Anna Kazda, Roberto Bendinelli, Hoang Sao Mai Le

a 3D VR lidar coworking and visualisation tool, please note that we could not publish data to GitHub due to the 100mb single file limit
Project: Modeling Future Trends with Events
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Bruno Manzano, Ivan Hernandez, Martí Oms

This project focuses on developing a model able to analyze and predict the impact of future events on trendlines. The model should be able to predict accuratelly certain values. We would also like to incorporate possible user inputs to determine certain future values, and predict... (hover for more)
Project: MX Focus
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: BATIKAN BORA ORMANCI, Buse Duygun, Sude Duygun, Yange Zheng

Learn to retain your focus whilst writing an exam. The teacher can edit a document that can be viewed by the student through VR live. The student needs to remain focused, otherwise (which we detect through EEG and machine learning) they get punished by having a semi-stochastic no... (hover for more)
Project: Pochify
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Ainoa Capellas Palenzuela, Jaume Costa Calvoparra

Pochify is a Java-based application designed to streamline and automate the scoring and rule management of the popular card game Pocha. With an intuitive interface and real-time calculations, it enhances gameplay by eliminating manual scorekeeping, making every round smoother and more enjoyable
Project: Text Sentiment Classification of Tweets
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Can Hu, Sean Wang

Using the dataset from https://www.aicrowd.com/challenges/epfl-ml-text-classification We try to predict if a tweet message used to contain a positive :) or negative :( smiley, by considering only the remaining text.
Project: Third party banking entity identifier
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Aryan Ahadinia, Théo DEVANTOY, Manaf Mhamdi Alaoui, Rouzbeh Pirayadi

We are aiming to create an algorithm for UBS to be able to identify third party accounts reliably accross multiple identities to be able to retrace money laundering operations. (By the way we already won their mini-challenge :))
Project: UBS_TECH
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Daniela Pamelin Alvarez Guarneros, Elena Alegret, Jofre Moseguí Monterde, Andrea Quiroz

The model is a hybrid entity resolution system combining rule-based logic and similarity metrics (e.g., Jaro-Winkler, Levenshtein) to match and group records representing the same entity. It balances precision and scalability, with optional embedding integration for contextual understanding.
Project: VisionAI Assistant
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Antonio Giuseppe Doronzo, Domenico Lacavalla, Matteo Balice, Shubham Panth

VisionAI Assistant is an intelligent multimedia processing tool that leverages AI to analyze images, transcribe audio, and process text. It provides an interactive interface for users to submit and retrieve multimedia data, with support for text-to-speech and real-time server com... (hover for more)
Project: vr quickdraw c
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Nataly Yhislaine Jaya Salazar

This project, developed by @arnaldopower_29, @naimsg16, @zpidero, @NatalyJaya, is a Unity-based multiplayer application that leverages Photon Fusion to create a seamless and efficient matchmaking experience. The system is built around the generation of unique session ID keys that... (hover for more)
Project: VRtuose
Hackathon: LauzHack 2024 (EPFL, Lausanne, Switzerland, November 30 - December 1)
Team: Ahmed Ezzo, Arnaud Favre, Cyril Deloince, Danaé Danycan

Users can create music by drawing notes on virtual music sheets or directly in 3D space. As notes are drawn, they dynamically transform into playable sounds, creating an immersive and engaging music composition experience.
Project: logilinux
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Arjun Juneja, Rudrrayan Manna
Awards: 1st Place Overall, Logitech Challenge Special Mention, JetBrains Challenge 4th Place

We decided to fill a major pain-point of the Logitech Master Series, and Logi Options+: The lack of Linux support. Being low-level engineers, and also linux users, we found that this ecosystem had little to no linux support, and any open source solutions were quite-frankly lacking. Logi Options+ provides a lot of customization and features that no available solutions on linux do, and Logitech's proprietary software does not currently support linux. Hence, we decided to reverse engineer the proto
Project: KnowTube
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Dominik Glandorf, Fares Fawzi, Seyed Parsa Neshaei, Abhinand Shibu
Awards: 2nd Place Overall

KnowTube is a learning companion that transforms YouTube videos into structured, active study materials. Instead of passively watching, learners can upload or link a video and instantly get a clean transcript, comprehension quizzes, and spaced‑repetition‑friendly flashcards generated from the key ideas in the content.

Behind the scenes, KnowTube analyzes the video’s transcript to detect concepts, definitions, and relationships, then builds question sets and flashcards that encourage recall rath
Project: showcAIse
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Fatumah Binta Sakho Doukouré, Oscar de Francesca, Ismail Nour, Kristyn Dede Korboe
Awards: 3rd Place Overall, Huawei Challenge 2nd Place

AI-powered presentation analysis tool that provides instant feedback on your speaking performance. Upload a video and get detailed insights on delivery, pacing, confidence, and areas to improve. Will also provide a generated audio giving an example of how you should ideally present.
Project: Birdy
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Sylvain Pichot
Awards: Organizers' prize

Birdy uses your webcam to monitor posture and detect hand gestures in real time. It runs in the background, alerts you when you slouch, and lets you control actions using simple gestures. Designed to improve comfort, reduce strain, and enhance productivity while you work.
Project: JARVIS
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Aaron Dinesh, Carlos Hurtado, Guillaume Krafft, Krish Chawla
Awards: Logitech Challenge 3rd Place

JARVIS is an intelligent multimodal assistant that creates seamless human-AI interaction through voice and vision. Speak, and the system automatically captures your webcam feed, transcribes your speech, and sends both to GPT for contextual understanding. The AI responds with natural spoken audio, creating a fluid conversation that understands both what you're saying and what you're looking at. Built entirely with OpenAI's latest APIs, JARVIS demonstrates the future of accessible, hands-free AI a
Project: LeaseCare
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Nil Biescas, Chengheng Li Chen, Pau Amargant
Awards: AXA Challenge Winner

LeaseCare empowers Swiss tenants by leveraging Generative AI and Vision Language Models to provide complete legal protection throughout the rental lifecycle. In under two minutes, the platform analyzes lease agreements against the Swiss Law to identify unfair clauses while simultaneously managing photo documentation to defend against unjustified damage claims. Whether you are signing a new contract or managing a move-out, LeaseCare acts as your personal legal expert, adapting to any rental conte
Project: Gestures plugin for Jetbrains IDE
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ognjen Gligorić, Nemanja Stjepanovic, Nenad Berić, Stefan Durica
Awards: JetBrains Challenge Winner

Navigating through the code in the IDE using gestures. Uses computer vision to recognize what gesture is user showing to the camera and executing commands in the IDE. Tracking of the eye movement and mapping where on the screen is user looking. On hand gesture the code that is observed is being sent to the Jetbrains AI requesting the explanation of the code.
Project: Exceptional Assistant
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Alexandre Benzonana, Daniel Rainho, Stefano Cirieco, Tiago Gama
Awards: Jetbrains Challenge 2nd Place

Intelligent Coding Assistant – Focused on Error Detection and Resolution
An AI-powered development tool designed to help you write cleaner, more reliable code. Instantly detects syntax errors, runtime exceptions, and potential bugs, providing actionable explanations, suggested fixes, and code snippets to resolve issues faster. Perfect for improving productivity and reducing debugging time.
Project: BrainsGraph
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Adam Chahed Ouazzani, Rassene M'sadaa, Mohamed Mokhtar Sellami, Youssef Boughizane
Awards: JetBrains Challenge 3rd Place

Have you ever tried to onboard to a really large codebase? It's incredibly hard.
What about using AI agents? They'll generate massive summaries of your entire codebase. But that's rarely helpful—it's almost equivalent to reading the entire codebase yourself.

We want something more visual and interactive.

We're building a tool that visualizes codebases as interactive graphs. You ask dozens of questions—"Where is authentication handled?" "What depends on this module?" "How does data flow through
Project: Legal Compliance Assistant
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Adrià Vico Sánchez, Biel Altimira, Laia Mogas Pladevall, Pol Resina
Awards: JetBrains Challenge 5th Place

Legal Compliance Assistant for Developers is a privacy-preserving VS Code extension that helps engineers build software that respects data protection laws and security requirements. Access to justice is often limited by the complexity of legal language and the lack of affordable guidance. Developers, especially in small teams and early-stage startups, frequently violate privacy and security regulations unintentionally because legal norms are hard to understand and rarely translated into technica
Project: NodePass
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Davide Sacchini, Francesco Catalanotti, Roberto Bendinelli, Daniel Vincent Horgan
Awards: SBB Challenge Winner

NodePass is a complete service that let's you create a digital wallet on a proprietary block-chain. Every ticket is digitally stored, activated, and validated in the block-chain with total anonymity. The tickets are stored on your device and cannot be transferred nor shared with others.
Project: A ticket to better law
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ilija Radosavljević, Jovana Pavlović, Lazar Vukosavljevic, Nikola Zivkovic
Awards: SBB Challenge 3rd Place

Ticket to Better Law
Empowering users through privacy and transparency

SafeRide – A privacy-first public transport ticketing system that allows users to purchase and use tickets anonymously and securely. It prevents ticket misuse and ensures compliance with public transport regulations, giving users confidence and privacy in everyday travel.

Telecom Rights App – An AI-driven assistant that helps users understand and monitor their mobile and internet contracts. It notifies them of important cha
Project: UBS NexusAI
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Bruno Manzano, Marcel Fernandez
Awards: UBS Challenge Winner

This project introduces a multi-agent AI system designed to enhance the understanding of UBS customer behavior and financial patterns. The backend is powered by lanchaing, which orchestrates a text-to-SQL pipeline to extract meaningful insights from structured banking data. Multiple specialized AI agents collaborate to interpret user intent, generate optimized queries, understand contextual information, and transform the results into clear visualizations.

The system analyzes transaction pattern
Project: HACKAB
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Héloïse Piguet, Kian Hampson-Bahia, Neus Mayol, Victòria Araujo Martínez
Awards: Legal Design & Code Lab Challenge Tied Winner

The tool aims to give access to judiciary tools to protesters and NGOs in cases of police brutality, using Claude Sonnet 3.7 image understanding capabilities coupled with a custom OpenJustice harm assessment flow and swiss legal counsel.
Project: Mockr
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Maria Andronic, Han Bui, Andrea Quiroz
Awards: Legal Design & Code Lab Challenge Tied Winner

AI-powered legal training platform that uses OpenJustice Dialog Flows and real-time voice interaction to simulate courtroom proceedings, enabling lawyers and law students to practice arguments against AI agents (judge, prosecutor, defense) that debate using gathered case facts.
Project: Traveler unknown
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Moritz Geib, Niklas Thal, Niklas Hermerding

We develope a method to buy a train ticket without the need of exposing personal information. The ticket is printable on paper. Beside you are able to print multible copies, you can´t used in parallel by multible people.
Project: NetResearch
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Andrea Gentilini, Gabriele Maraglino, Tommaso Moro

Finding the right research position, PhD, or collaboration is a broken process. Talented researchers spend 80% of their time manually trawling through fragmented university websites, reading endless lab descriptions. The remaining 20% is spent stressing over how to write the perfect "cold email”.

The solution? NetResearch.

NetResearch is a multi-agent system that revolutionises academic networking. 
It ingests your raw CV, understands your research interests, and processes your existing networ
Project: AETT – Anonymous E-Ticket Toolkit
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Maja Mladenović, Marta Maric, Milica Vukasinovic, Sofija Vukasinovic

Most e-ticketing systems for public transport either track users (accounts, IDs, device IDs) or are hard to scale and secure. We wanted something that feels like a paper ticket: anonymous, easy to validate, but still cryptographically secure and tamper-evident.
Project: MX Egg
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: BATIKAN BORA ORMANCI, Qiaoqiao Chen, Lucas Pilla Pimentel, Zhihao Chen

We used the logitech MX creative console in novel ways for football management purposes, and also created a game that visually displays important details on the device itself, which hadn't been done before. We also created an entire suite of games that run on the mx creative console. We also created a means on-platform for sports science experimentation for assisting sports-science research developers.
Project: SBB Anonymous Tickets
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Arnaud Maillard, Rolf-Rubens Blondel

A showcase website to issue tickets without personal data, that can be printed or dematerialised. The website also allows to scan the ticket to know wethever it is valid or not. In order to do that, it checks that the ticket has not been copied, used by another person, or used multiple times in an unexpected way.
The website uses the api of open transport data to fetch actual stations and trips.
Project: Patent Wizard
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Filip Antonijević, Marko Petrović, Teodora Rajičić, Tijana Mitrovic

Web application that compares parts of your proposed patent to other patents in our database. It will highlight every paragraph in a shade of a certain color, based on how similar it is to paragraphs in other patents. It also shows those similar patents and recommends changes, and steps needed for a unique novelty patent.
Project: PGP Encrypted Ticketing System
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ismael THIOMBIANO, Eduardo Visinheski, Joey Satka, Mubarak Abdullahi

The system uses a ticket system, and a personal identification token (PIT) which is linked to a single customer, without any of the customers information contained on it. The tickets will be linked to the specific PIT, and the PIT will have a changing QR code, as well as a live image which will not allow it to be shared through methods such as screenshots. The PIT will also be linked to a single device. The system will contain a client side, showing the tickets and PIT, and a company side, which
Project: TouristNow
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Jovan Savić, Milan Gavrić, Nikola Vesovic, Nikola Stanković

This application reimagines local discovery by combining open geographic data with real-time AI enrichment, producing a smarter and more context-aware alternative to traditional map apps. Instead of overwhelming users with irrelevant or low-quality points of interest, the system filters and scores places by metadata richness, availability of real images, and proximity—surface only locations that are genuinely useful. Each POI is enhanced with concise AI-generated descriptions, giving travelers q
Project: FotoAI and Logit
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Djamel Eddine AHMED BACHA, Euan Jones, Keanu Czirjak, Varun Nayak

An AI agent solution to editing your photos, users can query an AI to edit photos in the ways that they desire, removing the need to learn complex photo editing suites. Created with Logitech peripherals in mind, providing haptic feedback to users and utilising MX Creative Console to perform precision adjustments to your photos.
Project: DesignKit
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Akram Atmani, Hamza Wahbi

This tool fixes the common trap where great products end up wrapped in rushed, inconsistent or AI-slop UI. It generates a clean, accessible, fully structured design system from any inspiration site, lets developers tweak it quickly, and then enforces it inside their IDE. The result: devs can stay focused on building features while still shipping interfaces that look intentional, feel consistent and meet usability and accessibility standards from day one.
Project: BankGuard - Financial Safety Assistant
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Michal Gryglicki, Vincent Danys

An intelligent compliance analysis system that combines large language models with structured database queries to streamline anti-money laundering (AML) investigations. The system accepts natural language prompts from compliance officers and automatically determines which database queries to execute, synthesizes findings from multiple data sources, and presents evidence-based analysis with full transparency. Built with a stateless architecture, it features real-time query tracking, automatic tab
Project: SATUK4
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ewa Miazga, Michał Wróbel, Stanisław Howard, Maksym Ziemlewski

SATUK is an AI-powered “ranger buddy” that helps conservation teams analyze wildfire recovery and wildlife activity by combining satellite imagery, wildlife camera trap videos, and vision‑language models in a single interface.
Project: Specter
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Lina Sadgal, Matthias Wyss, William Jallot, Yassine Wahidy

This project uses a multi-agent system to transform a whiteboard image and brainstorming audio into a fully structured, production-ready project. The Logitech MX Brio camera and microphone capture high-quality visual and audio input. Several AI agents, orchestrated via Oracle’s Agent Spec and WayFlow frameworks, collaborate to analyze the inputs, extract key ideas, interpret requirements, design architecture, generate modular code, and produce documentation. Gemini (via LLM and vision LLM) power
Project: sPARKing
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Dušan Korizma, Ivan Bokor, Maja Milović, Marko Milenković

This notebook uses Meta’s SAM3 vision model to segment an overhead aerial image into cars and roads. It filters car detections by shape and size, removes cars that are surrounded by detected road, and clusters the remaining (off‑road) cars into groups. From these clusters it infers a structured grid of parking spaces, distinguishing between occupied and empty spots. Finally, it visualizes car clusters and inferred parking spaces overlaid on the original image.
Project: HapticMorse
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Andrej Veličkov, Filip Bajraktari, Dimitrije Pesic, Milica Gojak

HapticMorse is a multi-feature platform designed to support visually impaired and hearing-impaired individuals in performing everyday tasks on their personal computers. By leveraging the advanced haptic-feedback capabilities integrated into the side of the Logitech MX Master 4 mouse, HapticMorse enables users to convert written text into Morse code vibrations. This allows users to receive information through tactile signals, offering an intuitive and accessible alternative to traditional audio o
Project: SBB Anonymous Train Ticket
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Anthony Richelle, Arnaud Wery, Arthur Wery, Alexandre Wery

We designed a system where a user can buy and use transport tickets totally anonymously while enforcing fraud prevention, we use an anonymous card that can sign challenges to prove it's authenticity and store a token and a salt
Project: Cryptickets
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Anca Sfia, Oskar Dabkowski, Szymon Scibior

Inspired by other ticketing systems in Europe we introduce an upgrade to the current system by introducing tickets without personal data. We developed a preview of 2 apps - one for the customer and the other for the controller. To check the ticket, the controller needs to tap their phone with their app to the other phone and check the necessarily trip details. During purchase, the ticket is prescribed to the phone ensuring that it cannot be used by multiple people.
Project: Amplify
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Isabel ten Have, Margarida Santos

Our project empowers podcasters to elevate their content with credibility and clarity by leveraging advanced AI voice analysis. The platform dynamically maps each episode’s topic flow, automatically analyzes and fact-checks spoken content, and enriches key moments with curated visuals and authoritative sources. By saving creators hours of manual work, improving episode transparency, and boosting listener engagement, we make it easy for any podcaster to produce high-impact, professional, and reli
Project: F.R.A.U.D.
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Asel Temiralieva

F.R.A.U.D. is a hackathon demo that showcases intelligent financial security through data visualization. This proof-of-concept offers automated fraud detection by analyzing clients` data, transactions, notes, and roles. The main goal of the platform is to facilitate Financial Crime Compliance Officers` job to understand clients` eligibility for future usage of bank services.
Project: ComfortCompass
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Abror Musulmonov, Mirvohid Azimov, Moxirboy Muzaffarov, Uygun Tursunov

It’s a web-based travel assistant that focuses on your body’s comfort, not flights or hotels. You enter where you’re starting from, your destinations and dates, how much luggage you can bring, what you’ll be doing (like skiing, beach, city exploring, mosque visits), and your food preferences (e.g. halal, vegetarian). Optionally, you can also add a selfie so it can account for things like dry air and sun on your skin.
Using weather, UV, humidity and air quality data for each stop, it builds a day
Project: AI-Agent007
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Nam Le, Tuan Dang Nguyen

Banks must ensure data sovereignty and audibility, making typical cloud LLM solutions unsuitable. We're building system utilizing AI-Agents powered by GPT-OSS, an open-source LLM that guarantees data privacy.
Each agent acts as a domain expert in tax evasion, money laundering, terrorist financing, and they collaborate in controlled loops, using tool calls to pull real data. 
The system takes a simple user request and returns a clean, easy to understand / to visualize answer.
Project: Valoris
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Adrien Alaie

Our project is related to OpenJustice AI and has the ambition to advise potential victims of data theft, unauthorised access to a data processing system, fraud and computer fraud (base on the offenses of the swiss criminal code). Depending on whether an offense has been committed or not, the client is directed to a prevention tool to avoid the situation occurring or to a criminal procedure tool to find out what they can claim as compensation.
Project: InnoNation
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Aleksandar Rašković, Lena Perišić, Novak Stijepic, Vuk Dolijanović

Shops across the city have a terminal that can sell credit or write a planned journey to the card. Every time a terminal writes to the card, it also sends the exact same write event to the backend, which maintains the canonical state for that card.

Conductors carry a reader that checks whether the card contains a valid journey. The device reads the card’s state, then queries the backend to confirm that the card’s local state matches all the writes recorded in the backend. If everything matches,
Project: Comptutor
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Lena Jokovic, Milos Vojinovic, Mikhail Onosov, Staša Radenković

A VS Code plugin that helps students learn computer science concepts interactively using. Instead of providing instant solutions, the tutor guides users through questions, hints, and feedback, analyzes their code, and encourages understanding. Built with WayFlow and AgentSpec, the plugin uses a configurable LLM backend to provide educational guidance directly within VS Code.
Project: Vibe Coding Supreme
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Milica Obradović, Ognjen Vincic, Olivera Radovanovic

This project is an AI-driven system that turns a written idea into a working application. Users describe what they want to build, and the system automatically handles planning, code generation, validation, and assembling a complete project.

It begins by creating a structured development plan with the required features and file layout. Each file is then generated individually: routes, models, configuration, tests, and documentation, following the planned architecture.

After generation, the syst
Project: Focus Filter
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Katherine Qin

What if you could practice staying focused?

Focus Filter is a unique desktop application designed to train your concentration in the heart of distraction. Unlike a traditional game, it runs quietly in the background while you work on other tasks.

Here’s how it works: As you type, code, or create, Focus Filter will periodically generate subtle sensory interruptions—a flashing border on your screen, a controller vibration, or a disruptive sound. These represent the constant ping of notifications
Project: AML Pilot
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Muslim Abdyvapov, Ulukbek Tursunov, Zafira Ibraeva

Financial Crime Compliance officers spend significant time manually pulling data from multiple siloed systems to build customer risk profiles. This slows down the detection of crimes such as structuring, rapid movement of funds, and round-tripping. The Agentic Financial Compliance Copilot aims to unify client data, notes, roles, and transaction history into a single, coherent view to support faster and more accurate compliance investigations.
Project: SudoFocus
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ernesto Mendoza Gomez, Léonie Le Cheviller, Liam Sawadogo, Simon Defrenne

Productivity is impacted by several factors, such as laziness, distractions, bad environment and lifestyle, lack of motivation and bugs. In order to address this issues, our team developed a website gathering different bugs, to find the solution to problems easily, and an extension, gamifying coding and living a healthier lifestyle. Our SudoFocus website allows users to easily find these productivity aids.
Project: AXA's WeatherWear
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Hugo Recio Villorejo, Martina Vichino Gallardo

Combining the advanced SAM3 image segmentation model, a weather API and a pretrained LLM (Gemini 2.5), we aim to provide a complete and personalized system: given a location, a period of time and a picture of your outfit, provide recommendations and insights on how adequate is your look related to the weather and other risks.
Project: Happytics
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Harsh Talathi

Our computer bombards our eyes and ears with audiovisual clutter, what if we could offload some of those sensations to our sense of touch? Introducing Happytics, a haptic feedback suite that translates critical information into vibration patterns so users can "feel" their computers. Our features include UI feedback, allowing users to feel when something is clickable, an unsafe URL detector that buzzes you if you're about to click on a suspicious link, and an IntelliJ error locator that let's you
Project: FocusMirror
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Maiya Zhanaidarova, Mykhailo Razbeiko, Vladyslav Nosylevskyi

Basic idea
App to track your focus and to provide a viable and easy to use outlet for you to understand your habbits better!!!

We used Oracle Agent Spec for our llm connectors

Utilized image analysis to identify common habits onscreen, and imporove the lives of Developers () all around the world!

Why are we better than any other tracker?
We provide functionality and storage completely locally, its up to you to decide what services to use with our integration.
Project: easyDesk
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Eloi Viciana, Guillermo Pinteño Cabello, Khady Yade, Roger García Doncel

EasyDesk is a simplified computer interface for older adults, combining the camera and a Logitech button pad to control essential functions. With simple head gestures (yes/no/scroll) and large physical buttons for actions like video calls, messages, and emergency help, it allows seniors with low digital skills or reduced mobility to use a computer safely and easily.
Project: Mönch ∑:3
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Théo DEVANTOY, Manaf Mhamdi Alaoui

The system offers anonymous, single-user train tickets with refund capability and maintains compatibility with current in-person and digital purchasing workflows, delivering security without altering the user experience.
Project: CashBath - Clean dirty money
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Andrey Tashchyan, anthonin duval, Charles-Andréa Gravier Morin, Ihor Protsenko

An AI system using LangChain and a graph database detects fraudulent translations by analyzing data and signals, then outputs a fraud transcation with highlighted anomalies.
Project: Logic - AI-Powered Contextual Control
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Haytam Kasbane, Federico Lin, Mathieu Vanoirbeek

Logic reimagines creative hardware control by combining computer vision, large language models, and the Model Context Protocol (MCP) to create an adaptive, context-aware action system.

The Logitech MX Creative Console is a powerful tool, but its buttons have traditionally been static, requiring manual configuration and switching between layouts. Logic solves this by making your button pad intelligent.

Key Features:
  - AI-Powered Context Analysis — Screenshot-based understanding of your active
Project: Sneak Peek
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Ivan Hernandez Gomez, Lola Monroy Mir, Maria Gil Casas

This project uses state-of-the-art vision-language models (Qwen2-VL) and an agentic workflow (LangGraph) to monitor a home in real time. It can:
- Identify door visitors as family, mail carriers, or suspicious individuals.
- Convert voice commands into Google Calendar events using Whisper, tracking expected return times.
- Send Telegram alerts for: Detected visitors, suspicious alerts, familly movement...
Project: GP_Jonkler
Hackathon: LauzHack 2025 (EPFL, Lausanne, Switzerland, November 22-23)
Team: Jiakun Chen, Sean O'Callaghan

Using another smaller model, we predict the next token with minimal overhead before it is decoded and pass it to the large model. While the decoding happens we precalculate the response with the predicted token, saving us time if the token prediction was correct, or else reconcile the token and calculate it normally.
Maybe we also will add kv pruning to minimise the memory footprint as detailed in the genAI inference recommendations.