The problem LearnAId: AI Powered Adaptive Course Planner solves

Premium EdTech platforms like Unacademy provide structured, personalized courses, but they are often prohibitively expensive or outdated. Alternatively, platforms like YouTube offer rich, up-to-date content, but this content is scattered, unstructured, and lacks personalized guidance, making it challenging for students to navigate and progress systematically.

How learnAId Addresses This Challenge:

Self-Paced, Flexible Learning: Unlike rigid, one-size-fits-all courses, students have control over their learning journey, with content selected based on their individual needs and progress.

Built-In Quizzes and Assessments: With quizzes alongside curated videos, learnAId allows students to continuously assess their understanding, ensuring real progress.

Centralized Learning Hub: learnAId organizes scattered educational resources from YouTube and other sources into a single platform, eliminating the need for students to search and piece together content manually.

Challenges we ran into

In developing learnAId, we encountered several key challenges. Firstly, time constraints posed a significant limitation, as the 24-hour hackathon timeframe restricted us from implementing all desired features, requiring us to focus only on core functionalities. Secondly, dataset scarcity impacted model training, as the limited dataset availability hindered our ability to refine AI-driven features fully. Another major issue was transcript-dependent summary generation: some videos lacked transcripts, leading to inaccurate or random summaries, so we plan to integrate speech-to-text technology to provide reliable summaries consistently. Lastly, structuring YouTube content for personalized learning paths was challenging, as it required organizing unstructured videos into a coherent curriculum. We started with basic categorization by topics and levels, intending to enhance this with user feedback and improved algorithms in future iterations.