Project: Code logo

Aquarium Analyzer

Spring 2026
Machine Learning
Deep Learning
Computer Vision
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Led by Krrish Ganesh

A computer vision-powered web application that uses object detection and image classification models to identify fish species from aquarium images or video clips, then evaluates stocking levels using species compatibility and tank size rules to generate recommendations that help users maintain a healthy aquarium ecosystem.