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Farmlink 🌱

AI-Powered Crop Disease Detection System

📌 Description

Farmlink is an AI-powered web application that helps farmers identify crop diseases by uploading images of crops.
The system analyzes the image and detects possible diseases, making crop health diagnosis more accessible and affordable.

This project was developed as my first minor project during my Diploma in Computer Engineering.

🌾 Supported Crops

  • Rice & Paddy
  • Wheat
  • Maize & Corn
  • Tomato

🤖 How It Works

  1. User uploads a crop image
  2. The image is analyzed using a trained AI model
  3. The system predicts the crop disease (if any)
  4. Results are displayed in the browser

🧠 Technologies Used

  • Frontend: HTML, CSS
  • Logic: JavaScript
  • AI Model: Google Teachable Machine
  • ML Framework: TensorFlow.js

🌐 AI & ML Details

  • Model trained using Google Teachable Machine
  • Deployed directly in the browser using TensorFlow.js
  • No server-side processing required

📂 Project Type

  • Diploma Minor Project (First Project)

🤝 Open Source Contribution

Farmlink is an open-source project and welcomes contributions from the community.

If you'd like to contribute, please read the CONTRIBUTING.md file and check the Issues section for ideas.

🎯 Learning Outcomes

  • Basics of AI and Machine Learning
  • Image-based classification
  • Integrating AI models into web applications
  • Real-world problem solving for agriculture