TN-hackathon

This project was developed for TN Police 2023 conducted at St. Joseph College, Chennai, addressing the problem statement of social media analysis (YouTube).

Problem Statement

The objective was to analyze YouTube data to provide insights into comment sentiment, uploader location, and video content.

Features

• Comment Analysis: Analyze sentiment and content of comments on YouTube videos.
• Uploader Location: Determine the geographical location of video uploaders based on metadata.
• Video Analysis: Extract insights from video content such as tags, categories, and key themes.

Components

1. AI Model

Describe the AI model(s) used for:

• Sentiment analysis of comments.
• Geolocation extraction from uploader data.
• Video content analysis.

2. Backend

The backend is responsible for:

• Integrating with YouTube API for data retrieval.
• Implementing data processing and analysis algorithms.
• Exposing APIs for frontend and external access using DRF.

3. Frontend

The frontend provides:

• Made with React
• User interface to interact with analyzed data.
• Visualization of insights and analytics generated by the backend.