🌱 Karsh.Ai — AI-Powered Farming Assistant

Karsh.Ai is an intelligent agricultural dashboard designed to empower rural farmers by bridging the technology gap. It provides data-driven insights, personalized government scheme recommendations, and real-time alerts to ensure sustainable farming and financial security.

• Personalized Matching: Enter your annual income and landholding size to find eligible central and state government schemes.
• Smart Filtering: Categorizes schemes into subsidies, loans, and direct benefits.
• Up-to-date Data: Powered by a comprehensive database of agricultural incentives.

• Location-Based Insights: Suggests the best crops to plant based on your specific district in Kerala.
• Economic Forecasting: Estimates potential earnings and provides planting schedules based on the current month and land size.
• Machine Learning Powered: Uses historical data to predict optimal crop yields.

• Multilingual Support: Interact with the dashboard in English or Malayalam.
• Expert Advice: Ask questions about fertilizers, irrigation, or disease control.
• Fast Responses: Powered by Groq (Llama 3.3) for near-instant answers.

• Disease Detection: Upload photos of your crops to identify pests or diseases instantly.
• Expert Recommendations: Get immediate advice on treatment and preventive measures based on image analysis.

• Weather Forecasting: Provides a detailed 48-hour outlook for your district.
• Calamity Alerts: Real-time warnings for extreme rain, wind, or heatwaves that could affect your harvest.

• Frontend: Streamlit (for a fast, interactive web interface)
• AI/LLM: Groq & Gemini (for high-speed intelligent query handling)
• ML Models: Scikit-Learn (for crop prediction algorithms)
• Natural Language: gTTS & deep-translator (for Malayalam support)
• Data Handling: Pandas & JSON
• Styling: Custom CSS with Glassmorphism aesthetics

To run Karsh.Ai locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/SRDxRestricted/Karsh.Ai
   cd Karsh.Ai

2. Set up Virtual Environment:

   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install Dependencies:

   uv sync
   # OR
   pip install -r requirements.txt

4. Configure API Keys:

   • Create a folder named .streamlit in the root directory.
   • Create a file named secrets.toml inside that folder.
   • Add your API keys (Groq is recommended for higher limits):

     GROQ_API_KEY = "your_groq_key_here"
     GEMINI_API_KEY = "your_gemini_key_here"

   • Note: This file is already in .gitignore and will not be pushed to GitHub.

5. Run the Application:

   streamlit run app.py

├── app.py                  # Main landing page & Dashboard
├── auth.py                 # User authentication logic
├── theme.py                # UI/UX design tokens & Global CSS
├── pages/                  # Multipage Streamlit application
│   ├── 1_Malayalam_Chatbot.py
│   ├── 2_Crop_Predictor.py
│   ├── 3_Govt_Scheme_Finder.py
│   └── 4_Plant_Identifier.py
├── scheme_recommender/     # Logic & Data for govt schemes
├── early_warning_system/   # Weather monitoring & Alerts
├── imageProcessing/        # Plant disease identification logic
└── Malayalam TTS/          # Voice processing assets

We welcome contributions from the community! Whether it's adding new schemes, improving the ML models, or translating to more languages:

1. Fork the repo.
2. Create a new branch.
3. Commit your changes.
4. Open a Pull Request.

Built with ❤️ for the farming community.

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