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README.md

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 ## Overview
 
-Fish Counting is a computer vision task that involves detecting and counting fish in images or video streams. This model is designed to accurately identify and enumerate fish in various aquatic environments.
+# Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia Feeding
 
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+This repository contains a YOLOv8-based model for precise Tilapia feeding in aquaculture, combining computer vision and IoT technologies. Our system uses real-time IoT sensors to monitor water quality and computer vision to analyze fish size and count, determining optimal feed amounts. We achieved 94% precision in keypoint detection on a dataset of 3,500 annotated Tilapia images, enabling accurate weight estimation from fish length. The system includes a mobile app for remote monitoring and control. Our approach significantly improves aquaculture efficiency, with preliminary estimates suggesting a potential increase in production of up to 58 times compared to traditional farming methods. This repository includes our trained models, code, and a curated open-source dataset of annotated Tilapia images.
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+[Rest of the README content remains the same]
 ## How to use
 
 Please download the model weights first