Welcome to my GitHub profile

🎓 B.Tech CSE (2024–2028)
Biju Patnaik University of Technology, Odisha

🤖 AI & ML Intern | Production-ready ML systems
Strong in DSA • ML • CV • Statistics

🚀 Building scalable,real-world AI solutions

🤝 Open to internships,freelance & open-source

📅 Sep 2025 – Dec 2025 | 🌍 Remote

• 🧠 Built end-to-end Machine Learning pipelines using Python, scikit-learn, and TensorFlow
• 📈 Achieved 15–20% improvement in model accuracy
• ⚡ Reduced model inference time by 25%
• 🔌 Designed and implemented REST APIs for ML model integration
• 🤝 Collaborated with cross-functional teams to deliver scalable AI solutions

📅 Sep 2025 – Present | 🌍 Remote

• 🧩 Developing Generative AI & LLM-based applications
• 🌐 Implementing AI-powered features for modern web applications
• 🚀 Working on real-world AI use cases, automation, and intelligent systems

This project implements a classical face recognition system using
Principal Component Analysis (PCA) for feature extraction and
Artificial Neural Networks (ANN) for classification.

Instead of deep learning, the project focuses on efficient, explainable, and lightweight machine learning techniques, making it ideal for academic, portfolio, and research-based applications.

📷 Face Image
   ↓
⚙️ Preprocessing
   ↓
📉 PCA → Eigenfaces
   ↓
🧠 Classifier
   ↓
✅ Known | ❌ Unknown

✔ PCA-based feature extraction (Eigenfaces)
✔ ANN classifier with optional SVM & KNN
✔ Confidence-based unknown face detection
✔ Modular and clean Python architecture
✔ Eigenface & result visualization
✔ Easy to extend with new datasets

• Demonstrates Machine Learning fundamentals
• Strong focus on feature engineering
• Avoids black-box deep learning
• Clean, readable, and reusable code
• Ideal for students, interns, and ML beginners

🚀 Let’s connect and build together 🚀