GreenScan is an AI-powered project that helps users identify and verify plants using images. Instead of just telling what plant it is, this system focuses on answering:
“Is this the plant I’m actually looking for?”
Many plant identification tools exist, but they often:
- Lack accuracy in real-world conditions
- Don’t help in confirming a specific plant
- Provide generic information
GreenScan aims to solve this by introducing a verification-based approach.
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🌿 Plant Identification
- Upload or scan an image to identify plant species
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🎯 Verification Mode (Core Feature)
- Check if the scanned plant matches a selected plant
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📊 Confidence Score
- Shows how accurate the prediction is
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📖 Useful Plant Information
- Medicinal uses
- Edibility / toxicity
- Local names
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📸 Real-world Image Support
- Designed to work with actual camera images
- Python
- TensorFlow / Keras (for ML model)
- Flask (backend)
- HTML/CSS/JS (frontend)
🚧 Project is in early development stage
- Basic image handling ✅
- Dataset preparation (in progress)
- Improve model accuracy
- Add real-time camera detection
- Support regional plant datasets
- Deploy as a web/mobile app
This project was inspired by a real-world problem:
Difficulty in identifying and confirming plants in daily life.
More updates coming soon as the project grows 🌿