Building an AI assistant named Hermes to aid academic research by organizing and recalling information from personal documents. Utilized Python for backend logic including PDF parsing, vector store creation, and Q&A chain implementation. Employed Streamlit for a user-friendly interface. Overcame challenges like complex PDF layouts and middle context neglect through advanced techniques. Future plans include literature gap analysis and idea generation. This project enhances research efficiency by providing instant access to information and fostering deeper engagement with the material.
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