Completed

Gmail Security Monitor & Automated Threat Response

n8n Groq API Gmail API JavaScript

Developed an automated email security monitoring system that combines rule-based analysis with AI-powered threat detection to protect against phishing attacks and malicious emails in real-time.

  • Real-time email monitoring using Gmail API integration
  • AI-enhanced threat assessment using Groq API and Llama3-8B model
  • Automated incident response and quarantine system
  • Security alert distribution via Telegram integration
Completed

Real Estate Price Prediction System

Python Scikit-learn KNN

Engineered a machine learning model to forecast house prices using property features and location data. Implemented K-Nearest Neighbors algorithm with feature engineering and data preprocessing techniques.

  • Data preprocessing and feature engineering
  • KNN algorithm implementation and optimization
  • Model evaluation and validation
  • Interactive prediction interface
Completed

Cryptographic Security Suite

Python AES DES SHA-256

Developed comprehensive cryptographic implementations including AES, DES encryption algorithms and SHA-256 hashing. The suite provides secure data encryption, decryption, and integrity verification capabilities.

  • AES and DES encryption/decryption
  • SHA-256 hashing implementation
  • Key generation and management
  • Performance optimization and testing
Completed

Real-Time Chat Application

Django WebSocket SQLite

Designed and implemented core functionalities for real-time communication using Django framework with WebSocket integration. Features include user authentication, message persistence, and real-time message delivery.

  • Real-time messaging with WebSockets
  • User authentication and authorization
  • Message history and persistence
  • Responsive web interface
In Progress

Threat Detection Pipeline

ELK Stack Kafka MongoDB Splunk

Contributed to building a scalable real-time threat detection system integrating multiple security platforms. The pipeline processes logs from various sources and provides centralized monitoring and alerting.

  • Multi-platform log integration
  • Real-time data streaming with Kafka
  • Elasticsearch indexing and search
  • MongoDB for raw log storage
Completed

IoT Sensor Data Analysis

Machine Learning IoT Python Research

Research project focused on developing ML models for real-time sensor data analysis in IoT systems. Optimized algorithms and security protocols for mobile sensing applications with emphasis on efficiency and accuracy.

  • Real-time sensor data processing
  • ML model optimization for IoT
  • Security protocol implementation
  • Mobile sensing integration

Project Statistics

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Completed Projects

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Technology Domains

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Technologies Used

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Years of Development

Development Timeline

Advanced Security Projects

Gmail Security Monitor, Threat Detection Pipeline, Advanced Penetration Testing

Machine Learning & Research

IoT Sensor Analysis, Price Prediction Systems

Foundation Projects

Cryptography Suite, Web Applications