💻 Machine Learning | Data Science | AI Enthusiast
📌 Building innovative AI-powered applications
🔍 Looking for opportunities in ML and Data Science
📊 Passionate about solving real-world problems with data
🎯 Build a GitHub portfolio with well-documented ML & DS projects.
📖 Learning Machine Learning, Deep Learning, and AI through real-world applications.
💡 Contribute to open-source AI projects and grow within the ML community.
🎤 Share insights on ML/AI through blogging, discussions, and projects.
🌟 ArXiv Research Assistant
🔹 Production RAG system processing 2.8M research papers with sub-second search performance using SQLite FTS5 and Streamlit interface.
🌟 Drowsiness Detection System
🔹 Real-time fatigue monitoring system using MobileNetV2 CNN and MediaPipe facial landmarks to detect eye closure, yawning, and head nodding with Flask web interface.
🌟 Face Recognition System
🔹 A real-time face recognition system using OpenCV and KNN for classification.
🌟 Dynamic Job Scheduling System
🔹 A real-world implementation of job scheduling algorithms for optimal resource allocation.
- 🔍 Learning Deep Learning and Neural Networks
- 🏗 Building AI projects
- 📖 Writing technical blogs about ML and AI
- 🔍 Primary Focus: Machine Learning
- 🛠 Exploring: Neural Networks & Deep Learning
🛠️ My debugging skills are so advanced that sometimes, I fix bugs I didn’t even know existed.