SDSC/open-pulse-hackathon-data-analysis huggingface dataset:
Repository: mikasenghaas/lauzhack
Primary language: Jupyter Notebook

![](demo.png)

## Lauzhack 2023

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 can take into account mutliple modalities of transportation and provide the best route for the user.

## Approach

We have used the following approach to solve the problem:

1. We have used the SBB Open Data Platform to build our graph where nodes are the train stations and edges are the possible train connections. Each edge is associated with attributes including departure and arrival time, duration as well as position of both stations. We then enriched this graph with possible car as well as biking connections where we used a simple proxy of average walking / biking speed and distance between stations to calculate the duration of the connection.

2. We then used the graph to build a routing engine that can take into account multiple modalities of transportation. We then used a custom Dijkstra algorithm to find the shortest path between two nodes.

3. Finally, we put together a demo to try our new routing engine which can be fine [here](https://huggingface.co/spaces/ludekcizinsky/lauzhack).
Repository: oskar-codes/lauzhack-2023
Description: 3 pouleto les amigos
Primary language: JavaScript

# <img src="public/icons/icon_48.png" width="45" align="left"> Lauzhack 2023

## Clause Guardian

An AI powered bot that automatically summarizes the useful information of Terms of Service and such policies when it is needed to accept them e.g.: Creation of Account.
Repository: oskdbk/Lauzhack2025
Primary language: Kotlin

# Lauzhack2025

Small demo project for Lauzhack2025.

This repository contains a minimal README and a simple pytest test file so you can quickly run tests.

Prerequisites
- Python 3.8+
- `pytest` (install with `pip install pytest`)

Run tests

```powershell
pip install -r requirements.txt  # optional if you create requirements
pytest -q
```

If you don't use a `requirements.txt`, just run:

```powershell
pip install pytest;
pytest -q
```
Repository: pedrodevo/lauzhack
Description: Repository for Lauzhack hackathon.
Primary language: Python

# lauzhack
Repository for Lauzhack hackathon.



## Installation

```bash
# 1) create and activate virtual environment
# -- EITHER with conda
conda create -n apis_env python=3.11
conda activate apis
# -- OR with venv
python3.11 -m venv apis_env
source apis_env/bin/activate

# 2) install dependencies
(apis_env) pip install -r requirements.txt
```

## Usage

Our bot is deployed on Telegram. You can find it by searching for `@lauzbert_bot` on Telegram. It has a few useful commands:

- `/start`: start the bot
- `/help`: get help
- `/about`: get information about the bot
- `/testme`: provide a set of test questions about the last uploaded document
- `/related`: `: suggest related study topics # TODO
Repository: puigde/lauzhack2023
Description: the pips team
Primary language: Python

# lauzhack2023
the pips team

# Installing:
## To run:
* Clone the repo: `git clone https://github.com/puigde/lauzhack2023.git`
* Add dependencies: `cd lauzhack2023 && pip install -e .`
## For development:
* Install pre-commit hooks `pre-commit install`


get the checkpoints from [here](https://drive.google.com/file/d/1Ma6zJrECNTjo_mToZ5GKk7EF-0FS4nEC) and paste into `ckpt`

pygobject => `sudo apt install pkg-config libcairo2-dev gcc python3-dev libgirepository1.0-dev` `pip install PyGObject`