PROBLEM STATEMENT:

Learners often struggle to quickly locate precise answers within lengthy educational videos, leading to inefficiencies and a less effective learning experience. Traditional search systems fail to provide targeted, content-specific responses directly from the video, limiting the depth and relevance of information retrieval. This project aims to enhance video-based learning by creating a system that delivers accurate, context-aware answers derived strictly from the video content, improving learning outcomes and accessibility.

ARCHITECTURE:

Steps to Run the Project

• Install Dependencies
  Use requirements.txt to install the necessary Python packages:

  python3 -m pip install -r requirements.txt

• Run the Server
  Start the server by running the server.py file:

  python3 server.py

• Run the Client
  Start the client application using Streamlit:

  python3 -m streamlit run client.py

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OUTPUT:

1.Context Based Question and Answer:

2. Un-Domain related query: