Inspiration

The world generates over 2 billion tons of waste every year, and much of it ends up in landfills or oceans due to poor sorting and a lack of awareness. Climate change is accelerating, and individuals often feel powerless to make a real difference. We wanted to create a smart, engaging, and accessible AI-powered platform that turns everyday eco-conscious actions into a fun, guided, and data-driven journey. EcoVision was born to bridge the gap between awareness and action.

What it does

EcoVision is an all-in-one AI Sustainability Companion that empowers users to live greener lives through four core features:

Waste Detection – Upload or take a photo, and our AI (powered by Cohere AI) instantly classifies waste into categories like plastic, glass, paper, or organic, with proper disposal recommendations.

Carbon Footprint Analysis – Tracks daily activities and estimates your carbon emissions to help you make more sustainable choices.

*Eco Coach * – An AI-powered assistant (powered by Groq LLM) that provides personalized tips, eco-friendly product suggestions, and motivational advice.

*Progress Tracking * – Monitors your environmental impact over time, turning sustainability into an engaging challenge.

How we built it

Frontend: HTML, CSS, Tailwind CSS for sleek and responsive UI.

Backend/AI:

Cohere AI for waste image classification.

Groq LLM for personalized eco-coaching conversations.

Deployment: Vercel for fast, global hosting.

Design Tools: AOS animations for smooth user interactions.

Challenges we ran into

Training and fine-tuning AI models for accurate waste classification.

Ensuring smooth integration of multiple AI APIs without increasing response time.

Designing a beautiful yet minimal UI that makes sustainability approachable for all age groups.

Accomplishments that we're proud of

Created a fully functional AI-powered MVP in record time for the hackathon.

Integrated two different AI services (Cohere + Groq) seamlessly.

Built an intuitive interface that non-technical users can easily navigate.

Designed a feature-rich sustainability tool that’s both educational and actionable.

What we learned

How to combine multiple AI models for a unified user experience.

The importance of UI/UX in driving user adoption for eco-focused tools.

That sustainability technology must be as engaging as it is informative to truly make an impact.

What's next for EcoVision – AI Sustainability Companion

Mobile App Version for on-the-go eco tracking.

Gamification Features like challenges, badges, and leaderboards.

Community Platform for users to share eco-friendly actions and inspire others.

Expanded AI Models for more accurate waste categorization and region-specific recycling rules.

Partnerships with environmental NGOs, schools, and municipal recycling programs.

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