RootSense AI: Intelligent Dental Diagnostic Platform

RootSense AI is a next-generation clinical intelligence platform designed to assist dental professionals and students with precise diagnostics, interactive simulations, and automated patient record management.

🌟 Key Features

• Neural Vision Lab: Advanced AI-powered pathology detection (Caries, Gingivitis, Calculus) using YOLOv8 architectures.
• Interactive Simulation Engine: High-fidelity WebGL-based dental simulations for clinical training.
• Inference Simulator: Real-time diagnostic testing environment with pattern verification.
• Clinical Records Management: Automated PDF report generation and secure patient data handling via Supabase.
• Performance Analytics: Comprehensive tracking of diagnostic accuracy and efficiency tiers.

🚀 Tech Stack

• Frontend: Next.js 15, Tailwind CSS, Framer Motion, Lucide React
• Backend/Database: Supabase (Auth, Storage, Database)
• AI/ML: Python, Ultralytics YOLOv8, PyTorch
• Simulation: Unity WebGL
• Deployment: Cloudflare Pages / Vercel

🛠️ Getting Started

Prerequisites

• Node.js 18+
• Python 3.9+ (for ML modules)
• Supabase Account

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/rootsense-ai.git
   cd rootsense-ai

2. Install Frontend Dependencies:

   npm install

3. Configure Environment Variables: Copy the example environment file and fill in your Supabase credentials:

   cp .env.example .env.local

   Note: Ensure .env.local is never committed to version control.

4. Run Development Server:

   npm run dev

5. ML Module Setup (Optional):

   cd model
   pip install -r requirements.txt
   python train.py

📂 Project Structure

• src/app: Next.js App Router components and pages.
• src/components: Reusable UI components.
• model/: AI training scripts and pre-trained YOLO models.
• public/unity_build: Compiled Unity simulation assets.

📄 License

This project is proprietary and confidential.

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RootSense AI · Precision Lab v2.4