ClassCatch

ClassCatch-Helps students catch up on missed lectures with AI-powered summaries, Q&A, quizzes, and personalized revision.”
Dashboard – Manage learning sessions, track completed lectures, take quizzes, and monitor your overall learning performance.
My Sessions lets students view, manage, and track uploaded lectures, learning materials, and session progress in one place.
Upload Your Lecture lets students upload recordings, PDF notes, PPT slides, and images to create a complete learning session..
Lecture Overview provides AI-generated summaries, key topics, concepts, source references, and quick actions for smarter learning..
Lecture Topics organizes the lecture into clear sections with timestamps, making it easy for students to understand and review each topic.
Ask Doubt lets students ask questions and get AI-powered answers with source context from their uploaded lecture materials.
Quiz & Revision helps students assess their knowledge, identify weak topics, and follow a personalized revision plan to improve
Revision uses interactive flashcards to help students recall key concepts, review important topics, and strengthen their understanding.
Settings lets students manage their profile, preferences, notifications, auto-save options, and access help and support.

Inspiration

As students, we know how difficult it can be to catch up when we miss a lecture. Even if the recording and slides are available, watching the complete lecture again and going through all the materials can take a lot of time.

We wanted to solve a simple problem:

“What did I miss in the lecture, and how can I catch up quickly?”

This is what inspired us to build ClassCatch.

What it does

ClassCatch is a multimodal AI learning assistant that helps students catch up on missed lectures.

Students can upload a lecture recording along with slides or notes. ClassCatch processes the content and provides:

Lecture summaries in simple language
Important topics and key points
Answers to student questions based on the uploaded content
Quick quizzes for revision
A simple way to review a missed lecture without going through everything again

The main goal is to save students' time while helping them understand what they missed.

How we built it

We built ClassCatch using Multimodal AI and Generative AI.

The system works with different types of learning content, including lecture audio, slides, and notes. These inputs are processed and combined to understand the overall context of the lecture.

Our basic workflow is:

Lecture Recording + Slides/Notes ↓ Multimodal Processing ↓ Content Understanding ↓ Summary + Key Points ↓ Question Answering ↓ Quiz Generation

We focused on keeping the interface simple so that a student can upload their materials and start learning without needing any technical knowledge.

Challenges we ran into

One of our biggest challenges was combining information from different sources.

For example, a lecturer may explain an important concept in the recording that is not written on the slides. Similarly, the slides may contain information that is not explained in detail during the lecture.

Another challenge was making the AI responses short, clear, and relevant. We did not want students to receive another long piece of text when they were already trying to catch up.

We also had to think about how to make the different features work together as one learning experience instead of making ClassCatch feel like just another chatbot.

Accomplishments that we're proud of

We are proud that we turned a common student problem into a practical AI solution.

We were able to combine different types of educational content and use them to generate summaries, answer questions, and create quizzes from the same lecture material.

What makes us most proud is the idea behind the project: a student who misses a lecture can use ClassCatch to understand the important parts and start revising much faster.

What we learned

This project helped us understand how Multimodal AI can be used to solve real-world problems.

We learned about:

Working with different types of input such as audio, text, and slides
Using Generative AI to create useful educational content
Improving prompts and AI responses
Connecting AI functionality with a web application
Building question-answering and quiz-generation features
Designing an AI product around an actual user problem

We also learned that making an AI model work is only one part of the project. The output needs to be useful, understandable, and relevant to the user.

What's next for ClassCatch

We want to make ClassCatch more personalized in the future.

Some features we would like to add are:

Automatic flashcards
Difficulty-based quizzes
Exam-focused revision
Personalized learning recommendations
Student progress tracking
Multiple language support
Integration with college learning platforms

Our long-term goal is to make ClassCatch a complete AI study companion that helps students not only catch up on missed lectures but also revise and prepare for exams more effectively.