Atmoeye

Project Name: AtmoEye – AI-Powered Environmental & Vision Health Platform

Introduction

AtmoEye is an AI-driven platform designed to predict environmental hazards and analyze eye health in real-time. Using machine learning, computer vision, and geospatial intelligence, AtmoEye provides instant insights on air quality, wildfire risks, and vision-threatening conditions, ensuring proactive health protection for users.

Problem Statement

Environmental factors like air pollution, UV exposure, and wildfire smoke are causing severe eye health issues worldwide.

• Over 2.2 billion people suffer from vision impairment, with 80% of cases being preventable if diagnosed early.

• Air pollution contributes to dry eye, cataracts, and retinal damage, yet real-time health risk assessments remain inaccessible.

• Wildfire smoke increases the risk of permanent vision loss, but there’s no existing system that predicts these dangers before they impact human health.

• Visually impaired individuals struggle with navigation and text recognition, lacking AI-powered assistive solutions.

AtmoEye tackles these challenges by combining AI-powered diagnostics, real-time environmental monitoring, and smart health alerts—all in one seamless platform.

Key Features & Solutions

1. AI Eye Diagnosis (Computer Vision & Deep Learning)

• Uses CNN-based AI models trained on medical-grade datasets to detect uveitis, cataracts, retinal diseases, and pollution-related damage from a simple eye scan.

• Provides instant AI-based risk analysis and connects users to nearby doctors for further consultation.

• Ensures early diagnosis and prevention, reducing avoidable vision loss.

2. AI-Powered Atmosphere Monitoring (Geospatial & ML Predictions)

• Real-time AQI, UV, and wildfire smoke tracking using Google Air Quality API, OpenUV, and satellite data.

• Custom ML models trained on 20+ years of pollution data for predicting air quality fluctuations and their health effects.

• AI-generated heatmaps for air pollution and wildfire spread simulation to warn users before exposure risks rise.

3. VR-Based Eye Disease Simulation for Awareness

• Virtual reality integration lets users experience how eye diseases like cataracts, glaucoma, and macular degeneration affect vision.

• Enhances medical training and public awareness, making prevention efforts more impactful.

4. Assistive AI for Visually Impaired Users

• AI-powered text recognition (OCR via Tesseract.js) for reading signs, documents, and digital screens.

• Face recognition (Face-API.js) for identifying people in the surroundings.

• Navigation assistance using Google Maps API for safe, AI-guided movement.

Technology Stack & Implementation

Frontend: Next.js (React), Tailwind CSS, TypeScript
Backend: Node.js, Express.js, FastAPI
Machine Learning: TensorFlow.js, PyTorch, OpenCV
Geospatial & Mapping: Google Maps API, OpenWeather API, OpenUV API
Database: PostgreSQL, Firebase
Cloud Deployment: Docker, Render, Cloudflare
AI Optimization: Custom CNNs, spatiotemporal ML models, AI-driven predictive analytics

Revenue Model

1. Subscription-Based Health Monitoring: Premium plans for personalized health alerts, AI-assisted diagnostics, and doctor consultations.

2. Enterprise API Integration: Partnering with healthcare, insurance, and environmental agencies for AI-powered insights.

3. B2G Partnerships: Collaboration with governments for public health monitoring and disaster response systems.

4. Hardware Integration: AI-powered eye-scanning kits for hospitals and clinics.

Conclusion

AtmoEye is the world’s first AI platform that integrates environmental intelligence and vision health into one powerful system. By using real-time AI predictions, deep learning diagnostics, and assistive technologies, we are empowering millions to protect their eyes, navigate safely, and take control of their health.

When the world fails to see the dangers ahead, AtmoEye sees it for you.