📦 What it does
EcoPrint AI is a carbon footprint tracker that estimates the environmental impact of AI prompt usage — starting with text-based prompts. It helps users see how much CO₂ is generated behind the scenes when interacting with large language models. The tool allows users to select an AI model, input token usage, and get real-time footprint estimates in grams or kilograms of CO₂e. It’s designed for developers, creators, and everyday users who care about responsible tech.
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🛠 How we built it
I built the MVP solo using: • Bolt.new for front-end UI generation and page hosting • React (inside Bolt) to build the Carbon Calculator • Git + GitHub for version control and project management • Netlify for domain and live deployment at ecoprintai.net • Stripe + RevenueCat for setting up subscription functionality (still being finalized) • Visual Studio Code for local testing, error debugging, and structure
I also created all branding, wrote the site copy, and built the project from scratch while learning every step in real time.
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⚔️ Challenges we ran into • Payment integration issues: RevenueCat and Stripe caused major friction close to the submission deadline • Preview breaking in Bolt during live testing due to package conflicts • Navigating unfamiliar tools like Git, Supabase, and Browser Extension design • Working as a solo dev with limited time and no budget • Balancing parenting, school, and this build while teaching myself everything on the fly • Had to troubleshoot live deployment issues with barely 30 minutes left before the deadline
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🏆 Accomplishments that we’re proud of • Built a fully functional, branded MVP that’s live on the web • Learned and applied real-world skills in Git, React, and API integration • Designed a clean, accessible UI using Bolt • Created an original, mission-driven solution that tackles AI sustainability • Made EcoPrint AI feel like the start of a real product, not just a hackathon demo
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📚 What we learned • How to use Bolt.new, GitHub, and React together • How to deploy and host real projects on a custom domain • How complex AI usage really is — especially from an energy and ethical standpoint • How to troubleshoot and stay calm under deadline pressure • That passion and resilience matter more than having all the answers upfront • That great ideas only matter if you’re willing to build them
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🌍 What’s next for EcoPrint AI • Enable automatic tracking of prompt usage in the background • Add support for image and video AI prompts (not just text) • Integrate real electricity grid data via ElectricityMap API • Build full ESG reports, user history, and gamified streaks • Launch EcoPrint+ with premium tools and real-world carbon offset rewards • Explore partnerships, nonprofit impact, and investor funding • Turn EcoPrint AI into the standard for measuring AI sustainability

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