Build AI-Powered Document Question Answering Bot | Data Analyst Agent Project using LLM + Streamlit
In this video, I showcase my AI-powered project "Data Analyst Agent", which allows users to upload any file (CSV, Excel, PDF, Word, image, etc.) and ask natural language questions about the content. The bot retrieves, understands, and answers intelligently using Together.ai's LLaMA-4, and visualizes insights with interactive charts like bar plots, pie charts, and heatmaps.
🔧 Tech Stack Used:
Python
Streamlit
Pandas, pdfplumber, python-docx, pytesseract
Together.ai (LLM API)
Matplotlib, Seaborn
💡 Key Features:
File parsing for CSV, Excel, PDF, DOCX, TXT, PNG, JPG
Natural language question answering
Beautiful charts: bar, line, scatter, pie, and heatmaps
Session-based chat history
Real-time visual analytics
🔗 GitHub Repository:
👉 [https://github.com/Nihal108-bi/Data_A...]
🧠 Built by Nihal Jaiswal — aspiring Data Scientist and ML Engineer.