Plant Pal

Project Overview: PlantPal

Introduction

- Platform for plant care assistance.
- Uses image recognition to identify plants and diagnose issues.
- Provides tailored recommendations.

Need for PlantPal

- Growing interest in indoor plants, urban gardening, and sustainable agriculture.
- Challenges in identifying plant diseases , nutrient deficiencies , care assistance.
- Expert consultations can be costly and time-consuming.

Applications of PlantPal

- Home Gardeners: Identifies plant care needs and suggests treatments.
- Farmers & Agriculturists: Detects crop diseases and improves yield.
- Educational Tool: Can be used to teach plant biology and plant care.

Future Potential of PlantPal

- Community & Expert Support: Forum for insights and solutions through community collaborations .
- E-Commerce Integration: Direct purchase of recommended products.

AI/ML Application

The core feature of PlantPal is its AI-powered plant identification and disease diagnosis. The AI model will:

      - Use image recognition to identify plant species from user-uploaded photos.

      - Detect symptoms such as yellowing leaves, fungal spots, or wilting, providing diagnostic results in real-time.

      - Offer recommendations to solve the diagnosed issues, including adjusting water levels, sunlight exposure, or using fungicides.

      - Transfer learning will be used to train the model on new plant species, ensuring PlantPal can scale and identify a growing variety of plants.

Technologies:

              TensorFlow for AI-powered plant identification and symptom diagnosis.

              Using image processing tools like OpenCV to analyze plant health based on visual symptoms like yellowing leaves or fungal infections.