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A Streamlit-based job offer application featuring interactive visualizations and chatbot/Q&A bots powered by MistralAI Mixtral-8x7B LLM, with offers stored in a SQLite data warehouse and Dockerised

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DataJobs_AI

This is the final project for our natural language processing course from the Master 2 SISE (Université Lyon 2). This is a Streamlit-based job offer application featuring interactive visualizations and chatbot/Q&A bots powered by MistralAI Mixtral-8x7B LLM, with offers stored in a SQLite data warehouse and containerized using Docker. We have removed the database from the repository so as not to disseminate information from these websites.

This project was made by Naomi KALDJOB, Annabelle NARSAMA, and Clovis VARANGOT-REILLE.

Description

The folders

The first folder includes the front-end application files with the LLM-based agents and the Streamlit front-end. There is also the necessary to create a virtual environment with dependencies and the Docker image of the application.

The second folder represents the extraction, transformation (cleaning/normalisation of the different columns and feature engineering) and then the loading into a data warehouse created with SQLite.

The third folder includes the web scrapping files for the job-offers.

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A Streamlit-based job offer application featuring interactive visualizations and chatbot/Q&A bots powered by MistralAI Mixtral-8x7B LLM, with offers stored in a SQLite data warehouse and Dockerised

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  • Python 58.3%
  • Jupyter Notebook 41.5%
  • Dockerfile 0.2%