Objective: Create a basic prototype incorporating the use of ML/AI tools to assist in reporting on human trafficking. Judging Criteria: Relevance (25p): Creative use of ML/AI techniques in addressing the issue of human trafficking, demonstrating an understanding of the relevant technologies. Prototype Development (25p): The development of a functional prototype that showcases the proposed ML/AI solution. Technical Execution (25p): The quality, clarity, efficiency and ease of use of the tool created during the hackathon. Versatility and Adaptability (15p): The potential of the tool to be adapted for various types of journalistic investigations, demonstrating its utility in diverse reporting contexts beyond just human trafficking. Impact Potential in Journalism (10p): The tool's potential effectiveness in aiding journalistic efforts against human trafficking.
create venv(virtual enviroments) using command: python -m venv venv
activate venv using command: .\venv\Scripts\activate for windows
and source venv/bin/activate for mac
Install all modules using command pip install -r requirements.txt
Run project from main.py
!!! This is only tiny backend of our project which helps us to display data and work with our machine
after clonning, npm i/yarn add/pnpm i
Start you backend then run npm run dev for dev version
npm run build for creating optimized build
The machine Learning is create in google colab, If you want to do same machine learninig or check how we trained our machine check it here
Main project + Corruption Map - https://colab.research.google.com/drive/1tysQYVaAK3Y5Ao9uGhdvBJj-zktkVvps?usp=sharing
Coming soon dataset(40k of cleaned rows,clusters,a lot of info,only in process) - https://colab.research.google.com/drive/1tysQYVaAK3Y5Ao9uGhdvBJj-zktkVvps?usp=sharing