AI assistant for enhanced online learning experience

Company

NDA

Industry

Education

Country of the Company

USA

Type of Service

Development

Tasks

  • Improve access to learning materials for platform users.
  • Convert unstructured content (PDFs and video presentations) into a searchable, structured format.
  • Enable fast and intuitive information retrieval through natural language queries.
  • Lay the groundwork for scalable AI-based learning tools.

Challenges

  • Much of learning content presented was locked in static formats like PDFs and recorded videos.
  • The lack of content structure made it difficult to implement intelligent search or any personalized assistance.

Solutions

  • Used OCR to digitize and structure course content from PDFs and video transcripts based on predefined business logic.
  • Implemented a vector database to index content semantically.
  • Deployed a Retrieval-Augmented Generation (RAG) system using the o3-mini large language model to enable contextual responses to user queries.
  • Built a simple, secure interface with Streamlit for learner access.
  • Hosted all infrastructure in AWS Cloud for scalability and performance.
  • Designed the solution as an MVP, with ongoing iterations based on user feedback.

Outcomes

  • Reduced time learners spend searching for relevant materials by over 70%.
  • Made course materials accessible via conversational queries, improving user interaction and satisfaction.
  • Established a solid infrastructure foundation for future AI features.
  • Continued platform development is supported by real-world usage insights and feedback from learners.

Technologies Used

Python

AWS

PaddleOCR

llamaindex

ChatGPT-o3 Mini

chromadb

PostgreSQL

Streamlit

Company

NDA

Industry

Education

Country of the Company

USA

Type of Service

Development

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