🌱 Greeins — AI-Powered Tree Adoption & Growth Monitoring (Frontend + AI Models)
Greeins is a web-based platform designed to promote environmental sustainability by encouraging users to adopt trees and monitor their growth. The system uses integrated AI/ML models directly in the frontend to analyze plant health and development through image uploads.
Live Link - https://pratik-jumle.github.io/Greeins-Hackathon-Project/home2.html
🎯 Objective
To provide an intuitive and intelligent tool for individuals to:
- Adopt trees digitally 🌳
- Monitor their plant’s growth 📈
- Detect potential diseases 🦠
- Receive care tips using AI 🤖
- Encourage responsible green behavior 🌍
🚀 Key Features
- 📸 Image-Based Growth Analysis:
- Upload plant images across weeks (e.g., Week 1 vs Week 2)
- AI estimates growth percentage based on:
- Height
- Leaf count
- Leaf area and color quality
- 🧠 Disease Detection:
- Integrated ML model identifies common plant diseases from uploaded images
- Displays probable disease names and visual cues
- 💡 Smart Care Tips:
- Watering schedules
- Fertilizer suggestions
- Sunlight needs — based on plant condition
- 📊 Visualization:
- Simple graphs showing growth trends
- Visual indicators of health/disease over time
- 🌐 Fully Frontend-Based:
- Built using HTML, CSS, and JavaScript
- ML models run in-browser (using TensorFlow.js or integrated Python-in-the-browser tools)
🛠️ Tech Stack
- Frontend: HTML5, CSS3, JavaScript
- AI Models:
- Custom trained models for:
- Leaf detection & counting
- Disease classification
- Growth estimation
- Model formats: TensorFlow.js or ONNX (for browser compatibility)
- Visualization: Chart.js / D3.js / Custom SVG-based components
- Optional IoT Simulation: JSON-based dummy sensor values for temperature, moisture, etc.