Inspiration: Address climate impact and plant health challenges using AI-driven solutions.
What it does: Diagnoses plant diseases and calculates carbon footprint for sustainable choices.
How we built it: Used AI models, image analysis, and carbon footprint calculations for automation.
Challenges we ran into: Optimizing AI accuracy, integrating multiple functionalities, and refining the UI.
Accomplishments that we are proud of: Created an intuitive, functional tool for environmental and agricultural insights.
What we have learned: Gained expertise in AI integration, user experience, and sustainability solutions.
What’s next for EcoHealth Pro: Expanding AI capabilities, adding more environmental features, and improving accessibility.
Built With
- blip-image-captioning)-platforms:-hugging-face-inference-api
- css
- dom
- for
- hugging-face-ai-apis-(falcon-7b
- javascript-event-listeners
- javascript-frameworks/libraries:-inter-font-(google-fonts)
- languages:-html
- manipulation
- mit-app-inventor-(potential-mobile-integration)-tools:-fetch-api
- ui



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