Featured Projects

A showcase of my technical expertise through real-world projects in AI/ML, computer vision, medical diagnosis, and innovative digital platforms. Each project demonstrates problem-solving skills and practical application of modern technologies.

AI & Machine Learning

Advanced projects showcasing expertise in computer vision, NLP, multi-agent systems, and medical AI

Multi-AI-Agent Medical Diagnosis

Developed a sophisticated multi-agent system using TensorFlow and PyTorch, featuring specialized AI agents (Cardiologist, Psychologist, Pulmonologist) that collaborate to provide comprehensive medical diagnoses from patient reports.

Multi-threaded agent processing
LLM integration with GPT-4 agents
Deployed on HuggingFace Spaces
TensorFlow PyTorch Multi-Agent Systems Medical AI HuggingFace
Live Demo →
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Real-Time Traffic Signal Recognition

Built a YOLOv8 model in PyTorch to detect traffic signals in real-time, achieving an outstanding 97% mAP on the test dataset.

97% mAP accuracy on test dataset
Real-time processing with OpenCV
Comprehensive data augmentation pipeline
PyTorch YOLOv8 OpenCV Computer Vision
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Pneumonia Detection System by X-Ray

Advanced medical imaging AI system for pneumonia detection in chest X-rays with 96.4% sensitivity and 86% cross-operator validation accuracy. Features real-time analysis and clinical-grade reporting.

96.4% sensitivity for pneumonia detection
Cross-operator validated on 485 samples
DICOM support & PDF reports
Deep Learning Medical Imaging CNN HuggingFace Computer Vision
Live Demo →
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Instagram Sentiment Analysis

Engineered an NLP pipeline to classify comment sentiment, achieving 54% accuracy on a complex, nuanced dataset with 150+ emotion labels.

54% accuracy on complex dataset
Label standardization for 150+ emotions
86% recall for positive/negative sentiments
NLTK VADER NLP Sentiment Analysis
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Data Analytics & Visualization

Projects demonstrating data-driven insights and interactive visualizations

Mental Health Predictive Analysis

Built a logistic regression model (71% accuracy) to predict if a tech employee would seek mental health treatment. Visualized insights with Power BI.

71% prediction accuracy
Interactive Power BI dashboard
Identified key predictive factors
Scikit-learn Power BI Logistic Regression Data Visualization
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Customer Transaction Pattern Analysis

Created an interactive dashboard in Tableau, integrated with Python, to analyze banking transaction data and uncover key customer spending patterns.

Interactive Tableau dashboard
Python integration with TabPy
Real-time data processing
Tableau Python TabPy Data Analysis
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Innovative Platforms

Creative digital solutions combining storytelling, cultural heritage, and emerging technologies

Darshana - Digital Storytelling Platform

Concept Phase

My innovative startup concept: A comprehensive digital platform that connects users to their cultural heritage through immersive storytelling, featuring AI-powered content curation, virtual reality experiences, and interactive cultural exploration.

Core Features

Narad AI - Intelligent story curator
360° Virtual monument visits
AR/VR cultural immersion

Content Sections

Interactive story collections
Historical monument database
Folk tales & cultural narratives

Future Roadmap

Ticket booking integration
Virtual guide assistance services
AI/ML AR/VR 360° Technology Digital Platform Cultural Heritage Startup Concept
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