Skip to content

Latest commit

 

History

History
121 lines (81 loc) · 4.84 KB

README.md

File metadata and controls

121 lines (81 loc) · 4.84 KB

🤖 AI Task Planner

An intelligent web app that uses the Google Gemini API to automatically read a list of tasks and categorize them into High, Medium, and Low priority buckets.

🔗 Live Demo

🖼️ Screenshots

Manual Input File Upload
Text Area for manual input File uploader
Full App with AI Output
Full App with AI Output

✨ Features

  • 🔹 Intuitive Interface: Clean and simple UI built with Streamlit
  • 🔹 Dual Input Options: Paste tasks manually or upload a .txt file
  • 🔹 AI-Powered Prioritization: Uses Google Gemini to analyze and sort tasks
  • 🔹 Formatted Output: Tasks are clearly categorized for quick understanding

🛠️ Tech Stack

  • Backend: Python
  • AI Model: Google Gemini API (gemini-1.5-flash)
  • Web Framework: Streamlit
  • Deployment: Streamlit Community Cloud

🚀 Getting Started (Run Locally)

1. Clone the Repository

git clone https://github.com/PranavArya37/AI-Task-Planner.git
cd AI-Task-Planner

2. Set Up a Virtual Environment

On Windows

python -m venv venv
venv\Scripts\activate

On macOS/Linux

python3 -m venv venv
source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Set Up Environment Variables

Create a .env file in the root directory:

GEMINI_API_KEY="your_actual_api_key_here"

5. Run the App

streamlit run app.py

The app will automatically open in your browser at http://localhost:8501.

☁️ Deployment

This app is deployed using Streamlit Community Cloud. Environment variables are managed securely via Streamlit's secrets management, and dependencies are installed from requirements.txt.

🙋 Contributing

Contributions are welcome! If you have suggestions or improvements, feel free to fork the repo and open a pull request.

🧑‍💻 Author

🌐 Pranav Arya

📫 Get in touch via LinkedIn or Twitter

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.