AI STUDY PLANNER

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  The first image highlights the user input interface where students enter their available study hours and subject priorities.

*Inspiration

Students often struggle to manage their study time effectively. Many create unrealistic schedules or fail to maintain consistency, which leads to stress and poor academic performance. I was inspired to build AI Study Planner after observing how difficult it is for students to balance multiple subjects within limited time. This project aims to simplify study planning using AI instead of manual timetables.

*What it does

AI Study Planner generates a personalized daily study timetable based on:

Subjects selected by the student

Available study hours

Priority level of each subject

The system intelligently distributes time so that high-priority subjects receive more focus, helping students study smarter rather than longer.

*How we built it

The project was built using Python and basic AI/ML concepts.

Tech Stack:

Python for backend logic

Flask for the web framework

Pandas for data processing

scikit-learn for basic AI/ML logic

HTML and CSS for the frontend

User inputs are processed on the backend, where AI-based logic calculates time distribution and generates a structured study plan that is displayed on the web interface.

*Challenges we ran into

Designing an effective time allocation algorithm

Handling different user inputs realistically

Integrating AI logic with the web interface

Keeping the system simple while still meaningful

These challenges helped improve both the logic and usability of the application.

*Accomplishments that we're proud of

Successfully built a complete end-to-end AI-powered application

Implemented intelligent scheduling using basic AI/ML

Created a clean and user-friendly interface

Delivered a practical solution to a real student problem

*What we learned

Through this project, we learned how to:

Apply AI/ML concepts to real-world problems

Build and deploy a Python-based web application

Process and analyze data using Pandas

Design solutions with both simplicity and impact

This project strengthened our understanding of how AI can improve everyday productivity.

*What's next for AI STUDY PLANNER

User authentication and progress tracking

Advanced ML models for adaptive planning

Mobile app version

Built With

• ai
• ml
• python