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AI Powered Notes Management System

AI-Powered Multi-User Notes Management System

Backend: Flask + SQLite + LangChain + Ollama
Frontend: Streamlit
LLM: Open-Source (Llama 3 via Ollama)

Project Overview

This project implements a full-stack CRUD Notes Management System that supports:

  • Multi-user authentication
  • Note creation, reading, updating, and deletion
  • Natural-language interaction using an open-source LLM
  • Dashboard-style manual CRUD interface
  • Python Flask backend connected to SQLite
  • Frontend built using Streamlit
  • LangChain + Ollama used to process user instructions into structured SQL actions

Users can either use:

  1. Manual Mode → Normal Create/Read/Update/Delete buttons
  2. AI Mode → Natural language can be used to create/read/update and delete.

#Technology used

Component Technology
Frontend Streamlit
Backend Flask
Database SQLite
ORM SQLAlchemy
LLM Llama 3 via Ollama
LLM Framework LangChain
Security Werkzeug password hashing

#Folder_Structure

project/ │ ├── backend/ │ ├── app.py # Flask backend │ ├── models.py # Database models │ ├── llm_agent.py # Natural Language → Structured Action │ ├── notes.db # SQLite database (auto-created) │ └── frontend/ ├── streamlit_app.py # Streamlit UI

⚙️ Installation Instructions Step 1: Install Python packages

    pip install -r requirements.txt

Step 2:Run ollama

   ollama pull llama3

Step 3:Run the Flask Backend

   cd backend
   python app.py

Step 4:Run the Streamlit Frontend

   cd frontend
   streamlit run streamlit_app.py