Building intelligent systems, scalable web applications, and ML-driven products.
🎓 MCA Student from India
🧠 Strong focus on AI, Machine Learning & Deep Learning
🧪 Hands-on with ANN, CNN, RNN, NLP, Computer Vision
🌐 Experienced in Full-Stack Development (React, Node, Django, Flask)
🛡️ Exploring Cybersecurity, OSINT, Kali Linux & Secure Systems
🧩 Interested in systems programming, embedded systems & low-level computing
📈 Career-focused on high-impact, resume-worthy, real-world projects
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📩 Spam SMS Classification (NLP + LSTM RNN)
End-to-end NLP pipeline with text preprocessing, tokenization, LSTM-based sequence modeling, evaluation, and deployment-ready architecture using TensorFlow/Keras. -
😊 Sentiment Analysis using LSTM (NLP)
Resume-grade sentiment analysis system with custom word-level tokenization and recurrent neural network modeling for real-world text classification. -
🚦 Traffic AI – Real-Time Vehicle Detection & Flow Analysis (YOLOv8)
Real-time vehicle detection, tracking, and traffic flow analytics using YOLOv8 and ByteTrack with GPU-accelerated inference and CSV-based reporting. -
🏚️ Structural Damage Severity Assessment (CNN)
Computer vision system that classifies building damage severity from images, designed for disaster response and infrastructure inspection. -
🛒 Retail Loss Prevention & Shelf Intelligence (YOLO)
YOLO-based retail analytics system detecting product–person interactions, shelf stock conditions, and generating explainable loss-prevention insights. -
🧬 DermaAI – Skin Lesion Classification (CNN + ResNet)
Medical imaging application that classifies skin lesions as benign or malignant with confidence scores using deep CNN architectures. -
🏭 Industrial Defect Inspection (CNN Autoencoder)
Unsupervised anomaly detection system for industrial surface inspection using reconstruction-based CNN autoencoders with explainable heatmaps. -
🧠 Visual CNN Builder with Code Generation (Full-Stack ML)
Full-stack ML engineering platform enabling visual, layer-by-layer CNN design with automatic deep learning code generation.
