Students across smart campuses often struggle with effective exam planning, time management, and academic stress—especially when preparation time is limited. Despite access to digital resources, many students lack personalized guidance on how to study efficiently. SmartCampus AI was inspired by the idea of using AI-driven planning to transform student life by providing intelligent, adaptive academic support that fits individual timelines. SmartCampus AI is an AI-powered study planner that generates personalized and optimized study schedules based on the subject and the number of days available before an exam. It adapts the study strategy dynamically, offering structured learning phases, revision planning, and intelligent insights to help students prepare more effectively and confidently.
I built SmartCampus AI using a modern web-based architecture:
Frontend: HTML, Bootstrap, and JavaScript for a responsive, interactive, and polished user interface
Backend: Python with Flask to handle requests and generate study plans
AI Logic: Intelligent rule-based planning designed with AI-assisted guidance to simulate real-world adaptive decision-making The frontend communicates seamlessly with the backend to generate real-time study plans.
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