AirGuard AI – Smart Air Quality Prediction & Monitoring

Inspiration

Air pollution affects everyone's health. We wanted to build a smart solution that helps people monitor air quality, predict pollution, and stay safe using AI.

What it does

AirGuard AI monitors real-time air quality, predicts future AQI, provides health tips, sends pollution alerts, and answers users' questions through an AI chatbot and voice assistant.

How we built it

We built the project using React, Node.js, Supabase, Google Gemini AI, and Machine Learning for AQI prediction. We also used charts and maps to visualize air quality data.

Challenges we ran into

• Finding reliable air quality data
• Improving prediction accuracy
• Integrating AI with real-time data
• Designing a simple and responsive user interface

Accomplishments that we're proud of

• Built an AI-powered air quality monitoring system
• Added AQI prediction and health recommendations
• Integrated Gemini AI chatbot and voice assistant
• Created a modern, responsive dashboard

What we learned

We learned full-stack development, AI integration, machine learning, data visualization, and how technology can help solve environmental problems.

What's next for AirGuard AI

• More accurate AQI predictions
• IoT sensor integration
• Mobile app
• Multi-language support
• Smart city integration

AirGuard AI — Predict. Protect. Breathe.

Built With

• 1.5
• css
• css3
• gemini
• google
• html5
• local
• lucide
• motion
• react
• recharts
• run
• speechrecognition
• speechsynthesis
• studio
• tailwind
• typescript
• visual-studio
• vite
• web