Computer Vision• Case Study
NilaFresh
Metric & Key Achievement
99% classification accuracy
Tech Stack:PythonCNNDeepSeek APIRenderNetlify

Case Study & Project Details
Developed as an undergraduate thesis, NilaFresh is a web-based application that classifies the freshness level of Nile tilapia using a CNN model integrated with the DeepSeek API for additional analysis. The system was deployed on Render and Netlify, achieving a classification accuracy of 99%.
Visual Gallery & Screenshots(2 images)

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