A Web-Based Prototype for Driving Monitoring and Incentive Program

Abstract

DrivePerks.in is a groundbreaking start-up aimed at incentivizing responsible driving behaviour and fostering road safety. This abstract provides a concise overview of DrivePerks.in, its core features, and the impact it has on promoting responsible driving. The platform's unique approach, combining technology, rewards, and data analytics, has proven effective in encouraging drivers to adhere to traffic rules and regulations, resulting in improved driving behaviour and a safer road environment. This project uses a machine learning-based deep sort learning module as a local server, and an HTML, CSS and Javascript-based user interface integrated into a website. For storing the data of the user, we have used a Google-based platform, named Google Firebase.

This abstract highlights the key findings and recommendations from an in-depth analysis of DrivePerks.in, showcasing its potential to revolutionize the driving experience and contribute to a more sustainable and responsible transportation ecosystem. Addressing this challenge necessitates multifaceted solutions. One approach could involve optimizing traffic management systems to reduce congestion and enhance the flow of emergency vehicles. Advanced technologies, such as real-time traffic monitoring, AI-powered traffic signal optimization, and predictive traffic modelling, could aid in creating more efficient routes for ambulances.