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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
A job-offer mobile app maintained by YDUQS Estacio students, as a result of continuous science-outreach efforts from Estacio's Laboratorio de Transformacao Digital (LTD).
Scraping, processing and analyzing job offers to help job seekers on their journey. Technologies used: Selenium, SQL, Word2Vec/Doc2vec, Google Cloud, Docker, FastAPI, Streamlit. Capstone project for Le Wagon Data Science Bootcamp.