Nidhish-Balasubramanya/Full-Stack-Email-Assistant
A full-stack system that ingests emails, classifies them, extracts action items, summarizes content, and generates reply drafts using LLM-driven prompts. Built with FastAPI, Streamlit, SQLite/PostgreSQL, and Gemini LLM, it provides an interactive inbox, dynamic prompt management, and an AI assistant for inbox-wide reasoning.
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Language
Python
License
MIT
Last pushed
Nov 28, 2025
Commits (30d)
0
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