Building a GUI for Sentiment Analysis in Indian Languages with Python & Gemini API | Part 1

Welcome to the first part of our exciting new series where we dive into building a powerful sentiment analysis tool using Python and the Gemini API!

In this video, I showcase a custom-built GUI that performs sentiment analysis on text inputs in various Indian regional languages. Our tool focuses on analyzing the sentiment of the given text and providing detailed output in percentage for four key parameters: JOY, SAD, ANGRY, and ANXIETY.

🔍 What You'll See in This Video:
- Introduction to the GUI application developed using Python.
- How the Gemini API is integrated to perform sentiment analysis.
- A live demonstration of entering text and receiving sentiment analysis results.
- Overview of how the analysis results are presented in percentage format.

📅 What's Coming Next:
Stay tuned for Part 2, where we will enhance the application to include video input for sentiment analysis. In the upcoming video, we will showcase how the tool processes video content and provides sentiment analysis in a comprehensive report format.

Don't forget to like, comment, and subscribe to stay updated with the latest developments and be the first to watch Part 2!

🔗 Useful Links:
- GitHub Repository for the Project : COMING SOON

Thank you for watching, and I look forward to your feedback and suggestions!