Green Pulse
Link to Live Project: https://www.canva.com/design/DAGfkJjrqXY/T5-KkwHmklRYv41niM9K1g/edit?utm_content=DAGfkJjrqXY&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton
AI-Powered Plant Health Diagnosis
Our project aims to solve a common challenge faced by amateur farmers and gardeners: the difficulty in quickly identifying plant diseases, pests, and growth issues due to a lack of expertise.
To address this, we have developed an AI-powered platform that allows users to upload photos of their plants. The system uses advanced image analysis to detect potential issues—such as diseases or pests—and provides structured, easy-to-understand recommendations for treatment.
Key Features
- AI Diagnostics – Analyzes plant images to identify health issues using AI models or third-party APIs like Gemini or DeepSeek.
- User-Friendly Interface – A simple, intuitive design for users of all experience levels, ensuring seamless interactions.
- Actionable Recommendations – Provides clear and specific steps to resolve detected issues, including treatment methods, preventive measures, and maintenance tips.
- Accessibility – A responsive design ensures compatibility across multiple devices, making it easy to use anywhere.
- Continuous Improvement – Incorporates user feedback and expands the plant issue database over time to enhance AI accuracy.
Our Goal
We aim to empower users with the knowledge to take better care of their plants, improve agricultural productivity, and promote sustainable farming practices. By making plant health management more efficient, accessible, and data-driven, we hope to contribute to the agricultural community and simplify plant care for everyone.
This solution has the potential to revolutionize plant care, making expert-level advice available at the click of a button.
🔗 Link to PPT: View Presentation
This build was uploaded as a hackathon project
