Build an AI Customer Feedback Analyzer with Python | GitHub Copilot Free | Tamil | Karthik's Show

Karthik's Show · Intermediate ·💻 AI-Assisted Coding ·1w ago

Key Takeaways

Builds an AI Customer Feedback Analyzer using Python, GitHub Copilot Free, and Hugging Face AI model

Original Description

Build a real AI project using Python and GitHub Copilot Free! 🚀 In this video, we build an AI Customer Feedback Analyzer that can understand whether a customer review is positive or negative using a ready-made Hugging Face AI model. You will learn how to create a simple Streamlit web app, analyze one review at a time, show an AI confidence score, and upload a CSV file to analyze multiple customer reviews together. This is Project - 2 in the AI Projects Roadmap Series. Link to Playlist: https://www.youtube.com/playlist?list=PLE1SJVkd0yXo GitHub Code: https://github.com/KarthiksShow/customer-feedback-analyzer What we build ✅ Analyze individual customer reviews ✅ Predict positive or negative sentiment ✅ Show AI confidence score ✅ Handle empty input properly ✅ Upload a CSV file with multiple reviews ✅ Get total, positive, and negative review counts ✅ Download analyzed CSV results ✅ Use GitHub Copilot Free to build faster Tech Stack * Python * Streamlit * Hugging Face Transformers * PyTorch * Pandas * GitHub Copilot Free What you will learn * How sentiment analysis works * How to use a pre-trained Hugging Face model * How to build a simple AI web app using Streamlit * How to use GitHub Copilot properly as a beginner * How to analyze CSV data using Pandas * How to debug AI coding projects step by step * How to add this project to your GitHub and resume Resume Project Description AI Customer Feedback Analyzer: Built a Streamlit web application using Python and Hugging Face Transformers for sentiment analysis. Added confidence scoring for individual customer reviews. Implemented CSV batch analysis and dashboard metrics to identify positive and negative feedback trends. Possible Interview Questions: 1. What is sentiment analysis? 2. Why use a pre-trained model? 3. What does an AI confidence score mean? Next Project In Project 3, we will move from text to images and build an AI Image Classifier. Subscribe to Karthik’s Show as we build practical AI projects s
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