SowWell - Scientific Farming Guidance Platform

SowWell is an intelligent agriculture platform designed to empower farmers and agronomists with data-driven insights. It leverages modern web technologies and machine learning to provide scientific crop recommendations and automated plant disease detection.

Features

• Crop Recommendation: Suggests optimal crops to plant based on soil metrics (N, P, K, pH) and environmental factors using a trained machine learning model.
• Disease Detection: Identifies plant diseases from leaf imagery using a custom-trained deep learning model, and provides actionable prevention steps.
• Modern UI: A responsive, accessible, and intuitive interface designed specifically for agricultural applications.

Tech Stack

Frontend:

• React 19 + TypeScript
• Vite for rapid development and bundling
• Tailwind CSS & MUI for responsive styling
• React Router for seamless navigation

Backend:

• Python & FastAPI for high-performance API endpoints
• TensorFlow/Keras for Deep Learning (Disease Detection)
• Scikit-learn & Pandas for Machine Learning (Crop Recommendation)
• Firebase Admin for backend integrations

Getting Started

Prerequisites

• Node.js (v18+)
• Python 3.9+
• pip & virtualenv

Running the Backend

1. Navigate to the backend directory:

   cd backend

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Start the FastAPI server:

   uvicorn main:app --reload

Running the Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the Vite development server:

   npm run dev

Security

• Regularly scanned for vulnerabilities using Dependabot.
• All dependencies are kept up to date to ensure a secure environment.

Contributors

• Amith Gowda (Team Resilience - RVCE)