01

Log-Based Anomaly Detection System

Designed an industrial anomaly detection system using XGBoost and Mahalanobis Distance to identify abnormal machine behavior from log data. Built feature extraction pipelines that improved threat detection accuracy for industrial IoT applications.

PythonXGBoostAnomaly Detection

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02

Web-Based Music Therapy System

Built a multi-modal emotion recognition platform combining facial expression analysis and NLP to provide adaptive music recommendations. Published at ICAC 2026 and deployed as a Flask web application.

TensorflowOpenCVNLP

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03

Facial Recognition System with IoT Integration

Developed a real-time Raspberry Pi security system using TensorFlow Lite and OpenCV with PIR and ultrasonic sensors for motion-triggered facial recognition. Optimized models for edge deployment on resource-constrained devices.

Tensorflow LiteOpenCVIoT

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04

Personalized AI Assistant

Created a voice-enabled AI assistant using speech recognition and GPT-based NLP modules to automate tasks, answer queries, and provide conversational interactions.

PythonNLPGPT

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