StudyPilot AI was inspired by the common problem students face while preparing for exams—having large amounts of unstructured notes but no clear idea of what to focus on. We built this project to act as a simple AI-powered study assistant that transforms messy notes into concise summaries, generates quiz questions, and creates personalized study plans. The goal was to help students learn faster and more efficiently by organizing information in a structured way. We developed it as a full-stack web application using HTML, CSS, and JavaScript for the frontend and Python (Flask) for the backend, where user input is processed and meaningful study outputs are generated. While building this project, we learned how to connect frontend and backend systems, design user-friendly interfaces, and simulate AI-like behavior using simple logic. The main challenges we faced were keeping the project simple yet useful, making outputs meaningful without complex AI models, and ensuring a smooth user experience. In the future, we plan to integrate real AI models, support PDF uploads, and expand it into a full educational platform for students and teachers.
Built With
- and
- and-rule-based-ai-logic-for-summarization
- css
- html
- javascript
- python-(flask)
- quiz-generation
- rest-apis
- study