EnviroLens – Smart AI Assistant for Environmental Awareness

EnviroLens – Smart AI Assistant for Environmental Awareness

Submission for the Google AI Studio Multimodal Challenge*

Overview

EnviroLens is a multimodal AI assistant that detects and analyzes environmental issues from images, video, and audio content.

With EnviroLens, users can:

• Detect pollution, waste, deforestation, and fires in uploaded content
• Generate plain-language impact analysis reports
• View AI-powered "Before vs After" visual suggestions for environmental restoration
• Receive personalized eco-friendly recommendations

The goal is simple: empower citizens, NGOs, and researchers to monitor and take action on environmental issues using accessible AI technology.

Live Demo

Live App: EnviroLens on Cloud Run

Real-World Applications

Here's how people are using EnviroLens:

River Pollution Monitoring: Upload a photo of a polluted river, and the AI detects plastic waste, analyzes the contamination level, suggests cleanup strategies, and shows a restored river mockup.

Illegal Burning Detection: Upload a video of burning trash, and the system detects toxic smoke, explains health risks to nearby communities, and recommends proper waste management practices.

Deforestation Tracking: Upload satellite images or ground photos of cleared land, and the AI detects tree loss, estimates the impact on local biodiversity, and suggests reforestation plans with native species.

Technology Stack

The application is built with:

• Frontend: React with TypeScript and Tailwind CSS
• Backend: Node.js with Express framework
• AI Engine: Gemini 2.5 Pro for multimodal content understanding
• Infrastructure: Google Cloud Run with Docker containerization and Cloud Build

How the AI Works

EnviroLens leverages Gemini's multimodal capabilities in several ways:

Image Analysis: The system can identify various types of environmental damage including waste accumulation, smoke plumes, deforestation patterns, and water contamination in photographs.

Video Processing: For video content, the AI analyzes individual frames to track pollution levels over time and identify environmental changes.

Audio Understanding: Users can describe environmental issues through voice recordings, which are transcribed and analyzed alongside visual content for comprehensive assessment.

Interactive Reporting: The dashboard combines all analysis results with visual representations to help users understand environmental impact and potential solutions.

What Makes This Project Special

This isn't just another demo application. EnviroLens addresses a critical global challenge by making environmental monitoring accessible to everyone. The project demonstrates real-world utility for citizens who want to report environmental issues, NGOs conducting field research, and governments tracking environmental changes.

The entire application is built using Google's AI and cloud infrastructure, showcasing how modern AI can be deployed at scale to solve meaningful problems.

Future Development

I'm planning several enhancements:

• Mobile App: A progressive web application optimized for mobile devices to enable field reporting
• Global Mapping: An interactive heatmap showing environmental issues reported by users worldwide
• NGO Partnerships: Collaborating with environmental organizations to pilot the system in real monitoring projects

Final Thoughts

EnviroLens proves how multimodal AI can help solve real-world problems beyond demos — making AI a tool for sustainability and climate action.

The project shows that with the right tools and approach, AI becomes a powerful ally in building a more sustainable future.

Tags: #ai #googlecloud #multimodal #gemini #environment #webdev #cloudrun