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One of the biggest challenges faced by university students is daily commuting inside and outside campus. Many students either walk long distances in the heat, wait for irregular shuttles, or rely on expensive ride-hailing services. Current campus transport systems are not optimized, leading to wasted time, missed classes, and unnecessary carbon emissions.
My idea is to create a Smart Campus Shuttle System that uses AI-powered scheduling and electric minibuses to provide an efficient, sustainable, and affordable mode of transport. Students will book rides through a mobile app, which uses real-time data and AI to group nearby requests and suggest the most optimal shuttle routes. This ensures minimal waiting time, lower costs, and reduced congestion.
Unlike traditional fixed-route buses, the smart shuttle adapts dynamically to student needs. It reduces dependency on private vehicles, cutting down traffic and pollution on and around campus. The electric vehicles make the system eco-friendly and future-ready.
The primary beneficiaries are students, faculty, and staff who save time, money, and energy. The university also benefits by reducing its carbon footprint and showcasing innovation on campus. In the long run, this system can be scaled to corporate campuses, IT parks, and residential townships.
This problem matters to me because I personally face issues with unpredictable campus transport, which affects punctuality and productivity. With this solution, I aim to make mobility on campus seamless, sustainable, and student-friendly.
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