CrackDetect

v2 Finalist

CrackDetect

A mobile app that analyzes photos of cracks in buildings using AI

["1. Test the camera functionality within the app. Ensure it captures photos accurately and allows for easy photo submission.\n2. Verify the app's communication with the GPT API. Focus on the response time and accuracy of the crack analysis after submitting a photo.\n3. Evaluate the ease of navigation. Check if the instructions are clear and if the app's interface is intuitive and user-friendly.\n4. Test how the app displays the analysis results. Look for clarity, accuracy, and any UI glitches.\n5. Try scenarios like poor image quality or no internet connection to see how the app handles errors."]

About

CrackDetect is a mobile application that harnesses AI to analyze and assess cracks in building structures. By simply taking a photo, users can gain insights into the severity and potential cause of a crack. Integrated with real-time environmental data, the app provides a comprehensive understanding, aiding in timely interventions and maintenance decisions.