Our project was inspired by the need for accessible dermatological care, especially for those without immediate access to specialists. Building an AI-powered mobile app that identifies skin conditions with a simple photo upload, we connected it to a Flask backend for real-time classification and personalized treatment recommendations. Through this project, we deepened our understanding of machine learning in healthcare and the importance of robust backend integration.
We faced several challenges, from optimizing model accuracy to handling cross-platform network connectivity issues, especially with image uploads from mobile to server. These hurdles taught us the intricacies of deploying ML models in mobile applications and improved our skills in debugging network-related issues.
Built With
- c++
- flask
- jupyternotebook
- python
- react-native
- tensorflow
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