Inspiration
Wanting to learn about using Image Recognition Tools to predict human features.
What it does
Detects acne on your face with an image recognition model and then gives recommended products to use to tackle them.
How we built it
Built with yolov11 for image recognition, openai for natural language processing, and react-native to display our features.
Challenges we ran into
AWS cluster integration and connecting to Databases through the service
Accomplishments that we're proud of
Utilizing AWS to host database and EC2 instances
What we learned
React-native, AWS, yolov11, and how to utilize these tools. Also learned how difficult the time constraints can be with hackathons. Learning how to manage time and split resources evenly.
What's next for Acne Detection ML
Better trained model for more accurate predictions. Potential business operations with Amazon API integration. Etc.
Built With
- amazon-web-services
- openai
- opencv
- python
- react-native
- yolov11
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