Inspiration
Students often spend a significant amount of time planning their studies instead of actually learning. Creating a balanced study schedule, keeping track of completed topics, and preparing for exams can be stressful. We wanted to build a simple AI-powered solution that helps students organize their learning efficiently and stay focused throughout their exam preparation.
What it does
StudyFlow AI is an AI-powered study planner that helps students prepare for exams more effectively. Users can upload a syllabus PDF or provide subject details, and the application generates a structured study plan. It also provides quiz questions for self-assessment, stores study plans in a database, and offers an easy-to-use interface for managing study activities.
Key Features
- Upload syllabus PDF
- Generate personalized study plans
- AI-assisted quiz generation
- Save study plans using SQLite
- Simple and responsive web interface
How we built it
We built StudyFlow AI using Python and the Flask framework for the backend. HTML, CSS, and Bootstrap were used to create the frontend interface. SQLite was used to store study plans, while PyPDF2 was integrated to extract text from uploaded syllabus PDFs. Git and GitHub were used for version control and project management.
Challenges we ran into
One of the biggest challenges was handling PDF uploads and extracting readable text from different PDF formats. We also encountered issues while configuring the SQLite database, managing Flask templates, and debugging routing and file upload errors. Solving these problems helped us improve the reliability of the application.
Accomplishments that we're proud of
We successfully built a working web application that combines study planning, PDF processing, and quiz generation into a single platform. We created a clean and user-friendly interface, implemented database storage for study plans, and developed a functional prototype that demonstrates the potential of AI in education.
What we learned
Through this project, we gained practical experience in Flask web development, SQLite database management, PDF processing with Python, frontend development using HTML and Bootstrap, and version control with Git and GitHub. More importantly, we learned how to design and build a complete end-to-end application that addresses a real-world problem faced by students.
Log in or sign up for Devpost to join the conversation.