🧠 Smart Todo List with AI Suggestions

A productivity app powered by AI — suggests daily tasks based on your habits, time of day, and even the weather!

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📦 Tech Stack

• Backend: FastAPI (Python)
• Frontend: Streamlit
• AI Model: DeepSeek (via AIML API)
• Database: SQLite (SQLAlchemy)
• Architecture: Model–Context–Protocol (MCP)

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🚀 Features

• ✅ Add and manage your todo tasks
• 💡 AI-generated daily suggestions
• 📅 Time-aware and weather-aware planning
• 🔄 FastAPI REST endpoints
• 🖥️ Clean Streamlit UI
• 🔐 API key stored securely via .env

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🔧 Setup Instructions

1. Clone this repo

git clone https://github.com/yourusername/smart-todo-ai.git
cd smart-todo-ai

2. Install dependencies

pip install -r requirements.txt

3. Create .env file

env

AIMLAPI_KEY=your_actual_aiml_api_key_here

4. Start the FastAPI server

uvicorn main:app --reload
Visit: http://127.0.0.1:8000/docs to test API.

5. Run the Streamlit frontend

streamlit run frontend/app.py

📐 Architecture: MCP

This project is designed using the Model–Context–Protocol (MCP) architectural pattern.

Model: Task model (SQLAlchemy) and AI logic (generate_suggestion)

Context: Input from user (task list), weather, time of day

Protocol: API endpoints define system rules for adding tasks and generating suggestions