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An intelligent traffic monitoring system that collects traffic flow and metrics including average speed and vehicle counts for each road. Features real-time data visualization with interactive dashboards and an integrated AI Agent chatbot for querying processed traffic data in real-time.
Passionate about blending intelligence and creativity — from building real-time ML systems and smart IoT prototypes to optimizing supply chains and human-computer interaction.
UlasimdaRahatlik is a demo iOS application that works collaboratively with Arduino UNO unit. It aims to measure the temperature, and crowd of the bus using sensors and camera.
A complete guide on iot based projects for students in 2026, including latest trends, real-time applications, and skills required to build innovative IoT solutions.
Developed a full-stack IoT-based Smart Water Management System to monitor and analyze real-time water usage in apartments. Built backend APIs using Flask, integrated MySQL for data storage, and designed a React dashboard for usage analytics and automated billing insights.
I developed a fully embedded AI-powered smart traffic management system that dynamically controls traffic lights based on real-time road density using computer vision. The system is also capable of detecting traffic violations such as wrong-way driving, illegally parked vehicles, and road accidents.