Khoirunnisa Logo
Khoirunnisa.
Computer Vision• Case Study

NilaFresh

Metric & Key Achievement

99% classification accuracy

Tech Stack:PythonCNNDeepSeek APIRenderNetlify
NilaFresh

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)

NilaFresh screenshot 1
Zoom
NilaFresh screenshot 2
Zoom