microsoft
YouTube Analyzer
Project Name
YouTube Video Analyzer
Description
Description This app is an innovative tool designed to enhance information retrieval and content generation by intelligently combining user queries with relevant data from specified sources. The app leverages multiple data sources, including public APIs, databases, and web scraping techniques, to gather real-time information and deliver enriched responses to users.
Data Sources The app utilizes the following data sources:
YouTube API: To retrieve video metadata and descriptions. Gemimi API: To analyze data retrieved from YouTube Data Preprocessing: Implemented data cleaning and normalization processes to ensure consistency and accuracy in the retrieved data. Dynamic Prompting: Developed adaptive prompting techniques that automatically adjust based on user input and contextual relevance, providing more meaningful interactions. Caching Layer: Introduced a caching mechanism to store frequently queried data, improving response times and reducing API calls. Target Audience
The app is designed for a wide range of users, including:
Researchers: Seeking concise data retrieval for their studies and projects. Content Creators: In need of reliable information to support the production of written or video content. General Users: Individuals wanting to enhance their knowledge on various topics through interactive querying. The app enables users to obtain accurate, contextually relevant information quickly, making it an invaluable tool for anyone involved in research, education, or content creation.
Technology & Languages
- [X] JavaScript
- [ ] Java
- [ ] .NET
- [X] Python
- [X] AI Studio
- [X] AI Search
- [ ] PostgreSQL
- [ ] Cosmos DB
- [ ] Azure SQL
Project Repository URL
https://github.com/djamkenny/Analyzer.git
Deployed Endpoint URL
No response
Project Video
https://youtu.be/5fjiuAVsMcs?si=LgApfA9H7Z4Es2Ey
Team Members
Enoch Djam Beamahn
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