Real-time YouTube Livestream Sentiment Analyzer
Budget: ₹600 – ₹1,500 INR
I'm looking for an experienced freelance developer to build a web-based system that can analyze the sentiment of comments on YouTube livestreams in real time.
Key Requirements:
- The system should be web-based, accessible via any standard web browser.
- Use Python with Flask/Django for the backend development.
- Implement a pre-trained machine learning model for sentiment analysis.
- Ensure the system can handle the high volume of comments typical on popular livestreams.
Ideal Skills:
- Proficient in Python, especially with Flask or Django.
- Experience with sentiment analysis and machine learning.
- Previous work on developing web-based applications.
- Knowledge of YouTube's API and its comment system.
This project would suit someone with a strong background in Python web development and sentiment analysis, looking to apply their skills to a real-world application.
Key Requirements:
- The system should be web-based, accessible via any standard web browser.
- Use Python with Flask/Django for the backend development.
- Implement a pre-trained machine learning model for sentiment analysis.
- Ensure the system can handle the high volume of comments typical on popular livestreams.
Ideal Skills:
- Proficient in Python, especially with Flask or Django.
- Experience with sentiment analysis and machine learning.
- Previous work on developing web-based applications.
- Knowledge of YouTube's API and its comment system.
This project would suit someone with a strong background in Python web development and sentiment analysis, looking to apply their skills to a real-world application.