Traffic Prediction using Machine Learning | Python IEEE Project 2026

Traffic Prediction using Machine Learning | Python Final Year IEEE Project 2026. 🛒Buy Link: https://bit.ly/4qxgoZm (or) To buy this project in ONLINE, Contact: 🔗Email: [email protected], 🌐Website: https://www.jpinfotech.org 📌Our Proposed Project Title: Traffic Prediction using Machine Learning. 💡Implementation: Python. 🔬Algorithm / Model Used: Gradient Boosting Regressor, Random Forest Regressor. 🌐Web Framework: Flask. 🖥️Frontend: HTML, CSS, JavaScript. 💰Cost (In Indian Rupees): Rs.3000/ 📘Project Abstract: 👉The rapid growth in urban vehicular movement has created a critical need for intelligent traffic management systems that can efficiently predict and control traffic flow. 👉The project titled “Traffic Prediction using Machine Learning” aims to forecast traffic volume based on real-time environmental and temporal factors, thereby assisting in optimizing traffic operations and reducing congestion. 👉The system is developed using Python as the primary programming language, with HTML, CSS, and JavaScript for the front end and Flask as the web framework to integrate model functionalities within a user-friendly interface. 🚀IEEE Base Paper Title: Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction. 📍REFERENCE: Lingbai Kong, Hanchen Yang, Wengen Li, Yichao Zhang, Jihong Guan, and Shuigeng Zhou, “Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction”, IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE, VOL. 6, NO. 3, MARCH 2025. 🏷️tags: #trafficprediction #python #pythonprojects #machinelearningproject #aiprojects #pythonprogramming #pythonprojectforbeginners #pythonprojectideas #pythonmachinelearning #machinelearning #machinelearningpython #finalyearproject #ieeeprojects #finalyearprojects #datascience #datascienceproject #artificialintelligenceproject #projects #computerscienceproject #majorprojects #academicprojects #majorproject #computerscienceprojects #studentprojects #projectideas