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An IoT-based water quality monitoring and notification system for fish farmers to determine the physio-chemical parameters of aqua-cultured sites such as fish ponds. Built with esp32-arduino microcontroller, sensors (temperature, turbidity, pH, ultrasonic), Python Flask and SQLite Database). Literature work: https://drive.google.com/file/d/1_ctE…
This repository contains the codebase for a dynamic web application showcasing data science consulting services for agriculture and aquaculture. Built with HTML, CSS, and JavaScript, the project features a structured layout, responsive design, and functionality for user interaction, including a contact form and SEO optimization.