nickklos10 /
Concrete-Crack-Detector-CV
A full-stack AI-powered web application deployed on modern cloud infrastructure, featuring real-time concrete crack detection using deep learning computer vision.
22/100 healthLoading repository data…
sharukat / repository
AI-powered full-stack web application delivering Swan Lake biodiversity insights through data analytics and community-driven data contributions.
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A full-stack web application that delivers biodiversity insights specific to Swan Lake Park, powered by generative AI. The platform enables users to explore the park’s unique ecological landscape through intelligent data analysis and natural language generation. Community members can actively contribute by providing local biodiversity data, helping to enhance the accuracy and depth of insights.
Swan Lake Park is a cherished local amenity that serves as both a vital ecological habitat and a focal point for conservation efforts aimed at long-term environmental sustainability. Despite its importance, the park faces persistent environmental challenges. This AI-powered application harnesses the advanced reasoning capabilities of large language models (LLMs) and leverages retrieval-augmented generation (RAG) to analyze data and provide relevant, accurate insights. These insights support data-driven decision-making, long-term planning, and public education, helping to raise awareness and guide conservation strategies.
The application is currently under development and will be deployed soon. Stay tuned for access to the Swan Lake Citizen Science Lab, where you’ll be able to explore AI-powered biodiversity insights and contribute to ecological awareness at Swan Lake Park.
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nickklos10 /
A full-stack AI-powered web application deployed on modern cloud infrastructure, featuring real-time concrete crack detection using deep learning computer vision.
22/100 healthRoshnastha /
A full-stack web application for evaluating and scoring job candidates with real-time AI-powered insights, internal notes, and candidate management features. Built with Python FastAPI backend and React TypeScript frontend, containerized with Docker
49/100 health