Your Pocket Dermatologist 👩‍⚕️

Skinsey is packed with features to make skincare simple, smart, and personal.

• AI-Powered Skin Analysis: Just snap a photo of a skin concern, and our advanced AI model will analyze it to suggest possible conditions and provide actionable recommendations. It's not magic, it's AI. (But it's close).
• Personalized Skincare Routines: Based on your unique skin type, concerns, and even your local climate, Skinsey generates tailored morning and evening skincare routines. Get the right advice for your skin.
• Chat with Chansey AI: Have a nagging skincare question? Chat with our friendly AI assistant, Chansey! Trained to provide empathetic and accurate information, it's like having a dermatologist on call 24/7. Our AI won't replace your dermatologist... yet 😉.
• Find a Local Pro: Ready to see a specialist? Skinsey uses geolocation to find and list dermatologists near you, making it easier than ever to book an appointment with a real-life expert.

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The Magic Behind the Pixels 🧙‍♂️

Skinsey is built with a modern, powerful, and scalable tech stack to deliver a seamless experience.

The Frontend is a dynamic and responsive UI built with Next.js and React. The UI Components are beautifully crafted and accessible, coming from Shadcn UI and styled with Tailwind CSS.

Server-side logic and communication channels are powered by Next.js API Routes for the Backend & API. User management is handled securely by NextAuth.js, and data storage is managed with a flexible MongoDB database.

The AI Brains behind the features are Google Gemini, which powers our chatbot and routine generation, and Groq & Llama for lightning-fast image analysis. Location-aware features are enabled by the Browser Geolocation API and OpenStreetMap, with deployment handled on Vultr. With a stack this powerful, the only thing it can't do is make coffee (we're working on that in v2).

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Future Innovating Features 🚀

We are constantly looking for ways to improve Skinsey. Here are some of the exciting features on our roadmap:

• Custom RAG-Powered AI: To ensure the most accurate and reliable answers, we plan to replace the external AI API with a custom-built model from scratch. By using a Retrieval-Augmented Generation (RAG) framework trained on verified dermatological data, we can eliminate AI hallucinations and provide users with trustworthy information.
• Enhanced User Interface: We will continue to refine and improve the UI/UX to make the app even more intuitive, engaging, and accessible for all users.
• Live Camera Scanning: We are working on a feature to allow users to scan their skin directly from their device's live camera feed, providing instant analysis and feedback without needing to take and upload photos.

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Get Started Locally 💻

Want to run Skinsey on your own machine? Follow these simple steps.

Prerequisites

• Node.js (v18 or later)
• Git
• A running MongoDB instance (local or on Atlas)

1. Clone the Repository

cd skindisease

2. Install Dependencies

npm install
# or
yarn install

3. Set Up Environment Variables

Create a file named .env.local in the root of the project and add the following variables.

# MongoDB
MONGODB_URI=your_mongodb_connection_string
MONGODB_DB=skindisease

# NextAuth.js
NEXTAUTH_URL=http://localhost:3000
NEXTAUTH_SECRET=your_super_secret_key_for_nextauth

# AI Services
GEMINI_API_KEY=your_google_gemini_api_key
GROQ_API_KEY=your_groq_api_key

# Other
NEXT_PUBLIC_API_URL=http://localhost:3000/api

4. Run the Development Server

Start the application and open http://localhost:3000 in your browser to see it in action.

npm run dev