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🚀 Day 43 | Project Part 9: Web App for Movie Analysis in Machine Learning (Streamlit) | Tamil 🔥

Day 43 of my 90 Days ML Challenge is live 🚀

In today’s video, I took the next big step in our project — deploying the trained model using Streamlit and building a complete web application for movie prediction.

👉 We loaded the saved model into a new file and created a user-friendly interface where anyone can input movie details and predict whether the movie will be a Hit or Flop.

This is where machine learning becomes practical — not just building models, but making them usable in real-world applications 💯

📌 Topics covered:

✨ Loading saved model using joblib
✨ Using model in a separate file
✨ Building a web app using Streamlit
✨ Creating input fields for user data
✨ Preprocessing user input for prediction
✨ Making real-time predictions
✨ Displaying results with probabilities and insights

By the end of this video, you’ll understand how to convert your ML model into a real-world application.

🔗 Stay tuned for the next part where we’ll improve the UI and add more features!

📂 Resources:
🔗 Website: https://skilledge-coaching.vercel.app/
📂 Code File (Day 40): https://drive.google.com/drive/folders/1Rm8Psejc9ivnIpC0z8T9k1gQr8mPrKHf?usp=drive_link

#MachineLearning #DataScience #MLDeployment #Streamlit #MLProjects #90DayMLChallenge #SkillEdgeCoaching #TamilTech #LearnWithMe #PythonForDataScience #AI #ModelDeployment #WebApp #RandomForest

Видео 🚀 Day 43 | Project Part 9: Web App for Movie Analysis in Machine Learning (Streamlit) | Tamil 🔥 канала SkillEdge Coaching (தமிழில்)
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27 марта 2026 г. 18:25:20
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