ANIRUDDH ATREY

Projects

Building solutions that make an impact

Phantom

Cybersecurity Automation Framework

Phantom

Modular cybersecurity automation framework integrating 10+ security tools with real-time vulnerability triage and intelligent VM orchestration.

PythonDjangoASGISQLmap

GitHub

PulseBoard

Real-time Project Health Dashboard

PulseBoard

Real-time project health dashboard helping managers track delivery risks across multiple tools with deadline risk prediction.

ReactNode.jsSQLREST APIs

Gator-Taxi

Campus Taxi Dispatch System

Gator-Taxi

Advanced ride management system using Red-Black Trees and Min-Heaps for efficient taxi dispatching.

C++Red-Black TreesMin-HeapsAlgorithm Design

GitHub

Network Intrusion Detection

ML-based Cyber Attack Detection

Network Intrusion Detection

Intelligent network intrusion detection system using multiple ML/DL algorithms for binary and multi-class attack classification.

PythonTensorFlowNumPyPandas

GitHub

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More Projects

StealthWeb Enumerator

Web Security Reconnaissance Tool

Professional-grade cybersecurity reconnaissance tool with 6 specialized modules for security testing and enumeration.

PythonREST APIsOWASPNetworking

Port Scanner

Network Reconnaissance Tool

Lightweight network security tool for TCP port scanning with multi-target support.

PythonSocket ProgrammingNetworking

Kitsune-py

Online Network Intrusion Detection

Python implementation of Kitsune - an online NIDS using ensemble of autoencoders for unsupervised anomaly detection.

PythonAutoencodersMachine LearningNetwork Security

Azure OpenAI Search Demo

RAG-based Search Application

Sample app demonstrating RAG patterns with Azure AI Search and Azure OpenAI for intelligent document search.

PythonAzureOpenAIRAG

Data Science Notebooks

ML & Data Science Collection

Comprehensive collection of Jupyter notebooks covering machine learning, deep learning, and data science concepts.

PythonTensorFlowKerasPandas

Project Highlights

 Phantom Improved threat detection accuracy by 80%
Optimized scan allocation by 45%
Accelerated asset coverage by 3x
Improved scan-to-report SLAs by 90%
 

 PulseBoard Cross-tool integration (Jira, Trello, Slack)
Deadline risk prediction using ML
Team workload visualization
SQL-backed reporting
 

 Gator-Taxi Cut pickup times by 50%
Reduced wait times by 30%
Reduced idle time by 40%
Dual-indexing with RB Trees & Min-Heaps
 

 Network Intrusion Detection 8 ML/DL algorithms implemented
Binary and multi-class classification
Uses NSL-KDD dataset
Deep learning with LSTM & Autoencoder
 

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