prof-freakenstein/SIH2025 huggingface dataset:
Research and redesign a sport equipment commonly found in sport industry and utilize Fusion software to reimagine its design. Students can use Fusion Features such as Generative Design Topology Optimization Additive Build etc. The redesigned component should showcase innovation enhanced functionality and improved efficiency all while being optimized for 3D printing
Organization: Autodesk
Category: Hardware | Theme: Smart Education

 
The student's focus should be on using Fusion's additive manufacturing capabilities. They should aim to learn about additive manufacturing and its applications in aerospace design. This includes studying how to design aerospace components with considerations for structural integrity, and weight reduction. They should define project objectives and design constraints and then utilize generative design tools in Fusion to explore and generate optimized designs. The student should evaluate these designs using simulation and analysis tools within Fusion. They should refine and iterate on the designs to further enhance performance. Finally, they should prototype and test the finalized design using appropriate 3D printing technologies.
Students are supposed to use Fusion software to generate NC code with machine details & tool library for any industrial component. Students should possess technical skills in areas such as CAD/CAM software G-code programming toolpath optimization and machining fundamentals. Additionally their project ideas should demonstrate a viable solution to a real-world problem ensuring feasibility and practicality in implementation
Organization: Autodesk
Category: Hardware | Theme: Smart Education

Computer-Aided Manufacturing (CAM) is the use of software and computer-controlled machinery to automate a manufacturing process. Based on that definition, you need three components for a CAM system to function: Software that tells a machine how to make a product by generating toolpaths. Machinery that can turn raw material into a finished product. Post Processing converts toolpaths into a language machine can understand. From high efficiency roughing with Adaptive Clearing to simplified control of multi-axis machines with Tool Orientation.
Research and develop a design on autonomous small precision focused machine for planting crops or weeding
Organization: Autodesk
Category: Software | Theme: Smart Education

Design an autonomous small precision focused machine for planting crops or weeding to automate the task of planting and weeding. These machines are particularly useful to optimize the crop production. It can be autonomous or remote-controlled. The machine needs to be lightweight and flexible for easy transportation. The specifications are as follows: Length x Width x Height - 1000mm x 800 mm x 700 mm Weight — 120 kg Crop Compatibility: rice or onion Project submission must include conceptual sketches and images in the PPT presentation. At least one component must be optimized using the Generative Design module. The robot should incorporate Industry 4.0 applications, such as IoT and AI, for a smart and efficient agriculture innovation solution.
Students are tasked with designing a 4-story commercial office building using Revit Architecture and Revit Structure ensuring effective integration between architectural and structural models in a BIM environment.(The size of the plot can be assumed by the students all the dimensions wherever necessary can be assumed by students in mm units.)
Organization: Autodesk
Category: Software | Theme: Smart Education

 
The goal is to develop a coordinated, clash free, BIM model suitable for further use in MEP design, quantity take off, and construction documentation. To generate 2D structural drawings for various members like Beams, Columns, Slabs with detailing.Rendering Quality of the model will be evaluated. Walkthrough presentation of the model should be created of 30 secs. The model should have all the required members (Beams, Columns, Slabs, Stairs, Tile flooring).
Accelerating High-Fidelity Road Network Modeling for Indian Traffic Simulations
Organization: MathWorks India Pvt. Ltd.
Category: Software | Theme: Smart Education

 
Urban traffic congestion in Indian cities is worsened by the limitations of current urban planning software, which often assumes ideal, well-maintained road conditions typical of developed countries. Such software fails to account for the unpredictable and nuanced realities of Indian roads—such as potholes, temporary barricades, partial lane closures, construction activities, and erratic driver behaviors. Manually modeling these complex and dynamic road features into digital twins for realistic traffic simulations is both tedious and time-consuming, often requiring significant engineering effort before any meaningful simulation can be conducted. To address this challenge, MathWorks is seeking innovative solutions to accelerate the creation of highly detailed digital twins of existing Indian road junctions and networks. The aim is to design toolsets, templates, asset libraries, or workflows—leveraging MATLAB, Simulink, Automated Driving Toolbox, RoadRunner, and potentially generative AI—that significantly streamline the process. The solution should enable users to easily incorporate typical Indian road features and simulate hyper-local vehicular behaviors in their modeling, thereby empowering traffic management agencies to run realistic simulations for crisis handling, congestion management, and infrastructure planning. Proposals should focus on enhancing the modeling process rather than traffic optimization and must integrate seamlessly with MATLAB-based simulation workflows. For more information on relevant tools, please refer to the following links: Driving Scenario Designer – Design driving scenarios, configure sensors, and generate synthetic data – MATLAB https://in.mathworks.com/help/driving/ref/drivingscenariodesigner-app.html?requestedDomain= GitHub - MathWorks/OpenTrafficLab https://github.com/mathworks/OpenTrafficLab Create Driving Scenario Variations Programmatically – MATLAB & Simulink https://in.mathworks.com/help/driving/ug/create-driving-scenario-variations-programmatically.html?requestedDomain= Sensor Simulation and Virtual Scene Design with the Driving Scenario Designer App, Part 1 – MATLAB https://in.mathworks.com/videos/driving-scenario-designer-1529302116471.html?s_tid=srchtitle_videos_main_1_driving+scenario Import OpenStreetMap Data into Driving Scenario – MATLAB & Simulink https://in.mathworks.com/help/driving/ug/import-openstreetmap-data-into-driving-scenario.html
Remote classroom for rural colleges
Organization: Government of Rajasthan
Category: Software | Theme: Smart Education

Background: Rural diploma colleges often operate without subject Lecturers in various fields such as artificial intelligence, VLSI, or renewable energy. Students must rely on self-study material or travel to cities for coaching,deepening the urban-rural learning divide. Description: The challenge is less about willingness than about infrastructure. Typical village campuses juggle low and unstable data speeds, making conventional video-conferencing unreliable. Previous interventions failed when platforms assumed high-bandwidth links or required complicated equipment. To succeed, a new approach must embrace low-bandwidth realities, prioritise audio quality, compress visual content, and ensure that learning can continue even during connectivity lapses. It should encourage synchronous interaction yet also provide recordings that remain small enough for easy download on limited data plans. Faculty in cities need a simple way to deliver lectures from any quiet corner, while rural students require a user experience that functions on entry-level smartphones. Interactive elements quizzes, polls, discussion boards-must remain functional at low speeds.Crucially, the entire solution should minimise the leaming curve for educators and be financially sustainable for resource-constrained institutes. By offering a design that blends live engagement with asynchronous access, the college can bring expert instruction to every campus without waiting for large capital investments.This is precisely the sort of context-aware challenge that Smart India Hackathon teams can address through innovative but lightweight software solutions. Expected Solution: Student teams should outline a software-only virtual-classroom ecosystem that delivers clear audio and concise visual content on limited bandwidth, supports interactive live as well as recorded sessions, and allows easy content access for learners who may need to download materials during off-peak hours-all without relying on specialised hardware or costly licences.
AI-based drop-out prediction and counseling system
Organization: Government of Rajasthan
Category: Software | Theme: Smart Automation

Background: By the time term-end marks reveal failures, many struggling students have disengaged beyond recovery. Counsellors and mentors need a mechanism that surfaces risk indicators-faliing attendance, high number of attempts exhausted to pass a particular subject, reducing test scores-weeks earlier. Description: Attendance percentages live in one spreadsheet, test results in another, and fee-payment data in a third. No single view exists to signal that a learner is slipping in multiple areas simultaneously. Commercial analytics platforms promise predictive insights but demand funds and maintenance beyond the reach of public institutes. A simpler, transparent approach would merge existing spreadsheets,apply clear logic to colour-code risk,and notify mentors on a predictable schedule.Such a system must be easy to configure, require minimal training, and empower educators-not replace their judgment. By focusing on data fusion and timely alerts rather than complex algorithms, the institute can intervene early and reduce drop-out rates without fresh budget lines.This challenge epitomises the hackathon spirit: take what is already present, integrate it cleverly, and produce meaningful impact using machine learning. Expected SoIution: Participants are expected to build a consolidated digitaI dashboard that automatically ingests attendance,assessment scores, and other student related dala;applies clear, rule-based thresholds to identify at-risk students; highIights them in an intuitive visual format; and dispatches regular notifications to mentors and guardians, ensuring early,data-driven intervention achieved entirely through suitable machine learning approaches.
ERP-based Integrated Student Management system
Organization: Government of Rajasthan
Category: Software | Theme: Smart Automation

 
Background: Admissions, fee collection, hostel allocation, and examination records are maintained in separate ledgers. Students queue at multiple counters; staff re-enter identical data; and administrators lack a real-time institutional overview. Description: Comprehensive ERP suites can unify data but remain out of financial reach for many public colleges. Yet much of the required functionality-customised online forms, central data tables, automated receipts, real-time dashboards-already exists in ubiquitous cloud office suites. By intelligently connecting these services, an institution can create a single source of truth without large capital outlay. Essential components include streamlined admission intake, automated fee receipting, live hostel occupancy tracking, and summary dashboards for higher officials. Data security, role-based access and regular back-ups must be baked in from day one. Because staff is already familiar with basic spreadsheet and form tools, the learning curve remains shallow, ensuring broad adoption. Hackathon participants can demonstrate how thoughtful process mapping and lightweight scripting turn an assortment of familiar apps into a cohesive, low-cost ERP that any college can replicate. Expected Solution: Teams should outline an integrated workflow in which admission data flows seamlessly into a central student database, financial transactions automatically generate digital receipts, hostel and library records update the same database in real time, and summary dashboards present key metrics to administrators all delivered through interlinked, widely available software services rather than proprietary or hardware-intensive solutions.
Language Agnostic Chatbot
Organization: Government of Rajasthan
Category: Software | Theme: Smart Education

 
Background: Campus offices answer hundreds of repetitive queries-fee deadlines, scholarship forms, timetable changes often from students more comfortable in Hindi or other regional languages. Long queues and communication gaps strain both staff and learners.. Description: While answers reside in circulars and PDFs, students prefer conversational guidance. A multilingual chatbot that understands Hindi, English, and an additional local language can deflect routine inquiries, freeing staff for complex tasks. Modern conversational-Al services offer drag-and-drop interfaces. Key requirements include accurate intent recognition, context management across multiple turns, fallback to human contact when necessary, and daily conversation logs for continuous improvement. Embedding the chatbot on the college website and popular messaging platforms maximises reach. Crucially, the solution must respect privacy, ensure response accuracy, and remain maintainable by student volunteers after the hackathon concludes. By focusing on content curation and user-centric design, participants can deliver high impact solution quickly. Expected Solution: Student innovators should develop a multilingual conversational assistant that ingests institutional FAQs, recognises and responds to student queries in at least five regional languages, maintains context across follow-up questions, logs interactions for review, and integrates seamlessly into the college's existing web and messaging channels-achieving equitable, round-the-clock information access in a user friendly manner.
Develop computer programs (in any language preferably Python) to identify the design principles behind the Kolam designs and recreate the kolams
Organization: AICTE
Category: Software | Theme: Heritage & Culture

 
Kolams (known by other narnes as muggu, rangoli and rangavalli) are significant cultural traditions of India, blending art, ingenuity, and culture.
The designs vary by region, and the designs consist of grids of dots, with symmetry, repetition, and spatial reasoning embedded in them.
The Kolam designs provide a fascinating area of study for their strong mathematical underpinnings.
The challenge is to develop computer programs (in any language, preferably Python) to identify the design principles behind the Kolam designs and recreate the kolams.