Plant Doc is an AI-powered web application designed to help plant enthusiasts diagnose and treat plant diseases efficiently. Using state-of-the-art image recognition and the advanced capabilities of Google Gemini AI, Plant Doc analyzes plant images to provide accurate diagnoses and tailored treatment recommendations.
- Overview
- Features
- Technologies Used
- Target Audience
- Project Overview
- Integrations & Sponsor Technologies
- Team & Contributions
- Market Opportunity
- Business Model
- Contact & Links
Plant Doc empowers home gardeners, small-scale farmers, and plant care enthusiasts by using advanced machine learning and AI technology to diagnose plant diseases from photos. With a clean, user-friendly interface, users can quickly upload an image of their plant, receive a detailed diagnosis, and access actionable care and treatment recommendations—all in one place.
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Simple and Intuitive UI:
A seamless landing page with an "About" section and a primary focus on image upload for fast, efficient diagnosis. -
AI-Driven Diagnostics:
Utilizes Google Gemini for image analysis and disease detection with high accuracy. -
Comprehensive Results:
Detailed diagnostic cards provide:- Disease identification and confidence metrics
- Severity indicators
- Treatment steps, prevention tips, and causes
- Fertilizer recommendations and care tips
- In-depth plant information including description, origin, common uses, and growing conditions
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Real-Time Integrations:
Supports environmental data integration and user feedback for continuous model improvement.
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Google Gemini:
For AI-powered image recognition and plant disease identification. -
Supabase:
Provides backend services including authentication, database management, and real-time data synchronization. -
Lovable:
The platform used for developing and hosting the website. -
Vite:
A fast build tool for a streamlined development process. -
TypeScript:
Ensures robust type-checking and enhances code maintainability. -
React:
Powers the dynamic, component-based user interface. -
shadcn-ui:
Offers pre-built UI components to accelerate design and development. -
Tailwind CSS:
Enables rapid styling and ensures a modern, responsive design.
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Home Gardeners & Hobbyists:
Individuals seeking an easy-to-use tool for plant disease diagnosis. -
Small-Scale Farmers:
Agricultural practitioners aiming to enhance crop yields by timely disease management. -
Environmental Enthusiasts:
Those interested in sustainable gardening and plant care practices. -
Educational & Research Institutions:
Organizations looking for innovative tools that integrate AI with environmental science.
Problem Statement:
Plant enthusiasts often face challenges diagnosing and treating plant diseases, leading to crop loss and ineffective care practices.
Solution:
Plant Doc leverages cutting-edge AI and image recognition technology to analyze plant images, diagnose diseases, and provide actionable treatment and care recommendations—making plant care accessible and efficient.
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Google Gemini AI:
Core to our diagnosis engine, offering reliable and accurate disease detection. -
Supabase:
Manages data storage, authentication, and real-time updates seamlessly. -
Lovable:
Provides the foundation for our website's development and ongoing support. -
Additional Tools:
Vite, TypeScript, React, shadcn-ui, and Tailwind CSS ensure a robust and modern user experience.
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Project Lead:
Oversees project vision and strategic decisions. -
AI/ML Engineer:
Develops and refines the diagnostic algorithms using Google Gemini AI. -
Frontend Developer:
Implements the UI/UX using React and modern design frameworks. -
Backend Developer:
Manages API integrations and data synchronization with Supabase. -
UX/UI Designer:
Crafts a clean, accessible, and engaging interface.
Contributions and feedback are always welcome—please check our GitHub repository for more details.
The demand for AI-driven agricultural technology is growing rapidly, fueled by increasing interest in sustainable practices and smart gardening solutions. Plant Doc is positioned to capture a diverse user base—from home gardeners to commercial farmers—by addressing a critical need in plant disease diagnosis and care.
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Freemium Model:
Free basic diagnostic services with premium features (detailed reports, historical tracking, personalized care plans) available via subscription. -
In-App Purchases:
Monetizing treatment recommendations, fertilizer suggestions, and other plant care products. -
B2B Partnerships:
Collaborations with agricultural centers, garden supply retailers, and research institutions.
- Website: https://plantdoc.lovable.app/
- Gmail: aadish14146yadav@gmail.com
- Instagram: Click
- Author: Aadish
Happy Planting & Healthy Growth!