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Projects

Practical implementations translating research insights into working systems that solve real-world problems in healthcare, finance, and security.

Featured Work

Major Projects

AI & Healthcare Active

Healthcare Diagnostics and Telemedicine System Using AI

February 2025 - Present · India AI Mission Project

Project Overview

Developing a comprehensive AI-based healthcare platform that democratizes access to quality medical diagnostics through intelligent analysis of medical imaging data. The system enables users to input medical details and receive AI-powered diagnostic insights while facilitating remote consultations with healthcare professionals.

Key Features

  • Medical Image Analysis: Deep learning models for analyzing MRI, CT, and X-ray images with clinical-grade accuracy
  • Personalized Diagnostics: AI-driven diagnostic suggestions based on patient history, symptoms, and imaging data
  • Telemedicine Integration: Seamless remote consultation platform connecting patients with healthcare providers
  • Treatment Recommendations: Personalized treatment planning support based on AI analysis and clinical guidelines
  • Privacy & Security: End-to-end encryption and HIPAA-compliant data handling

Technical Architecture

  • Frontend: React for responsive user interface
  • Backend: Node.js with Express framework
  • AI Models: TensorFlow/PyTorch CNNs and RNNs
  • Ensemble Methods: EDN-SVM for improved accuracy
  • Cloud Infrastructure: AWS/Azure for scalability
  • Database: Secure medical data storage with MySQL

Impact & Goals

  • Improve diagnostic accuracy in resource-limited settings
  • Reduce time-to-diagnosis for critical conditions
  • Enable remote healthcare access in underserved areas
  • Support clinical decision-making with AI insights
  • Contribute to India's AI-driven healthcare transformation

Technologies Used

Python TensorFlow PyTorch React Node.js AWS Azure CNN RNN EDN-SVM MySQL

Current Progress

Dataset Collection & Preprocessing
Model Development & Training
Platform Development
Testing & Validation
FinTech & ML Completed

Credit Score Checking Application

May 2024

Project Overview

Developed a machine learning-based credit scoring system that automates credit assessment by analyzing personal financial data. The application provides real-time credit score evaluation and classification, making credit assessment more accessible and efficient for both individuals and financial institutions.

Key Features

  • Real-time Credit Assessment: Instant evaluation of creditworthiness based on financial indicators
  • Multi-Model Approach: Ensemble of Random Forest and Binary Logistic Regression for robust predictions
  • Demographic Segmentation: Tailored scoring for 18+ demographic segments
  • Interactive Dashboard: User-friendly Streamlit interface for score visualization
  • Classification System: Clear Poor/Regular/Good credit rating categories

Machine Learning Pipeline

  • Data preprocessing and feature engineering
  • Handling missing values and outliers
  • Feature importance analysis for interpretability
  • Model training with cross-validation
  • Hyperparameter tuning for optimal performance
  • Model evaluation using multiple metrics

Input Features

  • Personal income and employment status
  • Payment history and credit utilization ratios
  • Existing debt and loan obligations
  • Demographic information (age, location)
  • Banking relationship duration

Technologies Used

Python Streamlit Scikit-learn Pandas Random Forest Logistic Regression MySQL

Achievements

85%+
Prediction Accuracy
18+
Demographic Segments
<2s
Assessment Time
Academic

Research & Academic Projects

🔬

Computer Network Laboratory Research

February 2022 - June 2022

Conducted extensive network experiments and lab exercises focusing on router/switch configuration, virtual network setup, traffic generation, and packet analysis. Documented experimental results and mentored peers in hands-on networking labs.

Key Activities:
  • Network simulation using ns-3 and Cisco Packet Tracer
  • Wireshark packet capture and analysis
  • Router and switch configuration (OSPF/RIP protocols)
  • TCP/UDP performance testing and QoS optimization
  • Python scripting for network automation
ns-3 Packet Tracer Wireshark OSPF Python
Expertise

Technical Skills

Programming Languages

Python
C/C++
JavaScript

AI & Machine Learning

TensorFlow / PyTorch
Deep Learning (CNN, RNN)
Scikit-learn / Pandas

Security & Networking

Cryptography & Protocols
Network Security & Penetration Testing
TCP/IP, VPN, Firewalls

Web Development

React / Node.js
HTML / CSS / JavaScript

Tools & Platforms

Git/GitHub Jupyter VS Code PyCharm AWS Azure MySQL Wireshark MATLAB