- 🎓 I'm a B.Tech CSE student at Invertis University, graduating in 2026
- 🌱 Currently diving deeper into Deep Learning, TensorFlow, Computer Vision, and NLP
- 🔭 Working on real-world AI projects like:
- 📊 Sentiment Analysis on Amazon Reviews using Flask & NLTK
- 🫁 Chest X-ray Prediction System for age, gender & pneumonia detection
- ✍️ Handwritten Text Generator using RNN
- 🧠 Passionate about building practical solutions in healthcare, education, and accessibility using AI
A CNN-based Flask app to predict age, gender, and pneumonia from chest X-ray images
Tech Used: Python, CNN, Flask, OpenCV, PDF report generation
Features:
- Real-time predictions with image input
- Generates a comprehensive PDF report
- Multi-label output for medical diagnostics
🔗 View Project
A model that simulates handwritten text using RNN
Tech Used: Python, RNN, TensorFlow
Highlights:
- 90% accuracy
- Optimized pipeline reducing runtime by 30%
🔗 View Project
Flask app to classify reviews as Positive or Negative
Tech Used: Flask, NLTK, Scikit-learn
Highlights:
- 87% accuracy
- Clean web interface for quick sentiment predictions
🔗 View Project
- 🧠 Notebook Expert on Kaggle
- 🥇 Top 7% (307/4381) in Kaggle Playground Series (Rainfall Binary Classification – Apr 2025)
- 📚 Multiple certifications from LinkedIn, IIT Mumbai Symposium, and Kaggle
