Building practical AI, data-driven applications, and Python-based software systems.

I am a B.Tech student in Artificial Intelligence and Data Science at SRM TRP Engineering College, focused on turning data, machine learning, and software engineering concepts into practical applications.

My interests span the complete journey from data exploration and model development to backend APIs, databases, intelligent workflows, and user-facing applications.

I enjoy working on projects that combine AI/ML + Data + Software Engineering, with an emphasis on clean implementation, useful functionality, and continuous improvement.

• 🎓 B.Tech — Artificial Intelligence & Data Science
• 📍 Tiruchirappalli, Tamil Nadu, India
• 🧠 Focus areas: AI/ML, Data Analytics, Python Development, Computer Vision, NLP & Generative AI
• 🔬 Research interest: AI, cybersecurity and quantum-secured communication
• 💡 Interested in building practical, explainable and data-driven systems
• 🚀 Currently strengthening my skills through projects, research, coding practice and industry-oriented development

A selection of projects representing my work across Artificial Intelligence, Machine Learning, Software Engineering, Research, and Data Science. Project descriptions are intentionally aligned with the current repository implementations.

AI / Computer Vision / Explainable AI

An explainable deepfake detection framework leveraging Vision Transformers (ViT), temporal modeling, and Grad-CAM for interpretable image and video forgery detection across benchmark datasets.

Focus: Computer Vision · Deep Learning · PyTorch · Vision Transformers · Temporal Modeling · Grad-CAM · Explainable AI

AI Systems / Multi-Agent Architecture / System Design

A modular AI Cognitive Operating System focused on memory, reasoning, retrieval, agent orchestration, and secure execution, with an emphasis on clean architecture and modular system design.

Focus: Python · React · TypeScript · AI Systems · Multi-Agent Architecture · Retrieval · Clean Architecture · System Design

Full-Stack Software Engineering / Healthcare Technology

An AI-assisted hospital operating platform designed around connected workflows for clinical care, emergency operations, diagnostics, pharmacy, billing, compliance, and patient services.

Focus: Next.js · TypeScript · React · FastAPI · Python · PostgreSQL · SQLAlchemy · Redis · Docker · JWT/RBAC

Cybersecurity / Quantum Cryptography / Applied Research

A web-based quantum-secured messaging system integrating BB84-based Quantum Key Distribution (QKD), QBER-driven intrusion detection, and hybrid QKD–PQC security with real-time application-layer enforcement.

Focus: Python · FastAPI · Quantum Key Distribution · BB84 · Post-Quantum Cryptography · QBER · Intrusion Detection

Applied AI / NLP / Career Intelligence

An evidence-grounded AI Career Intelligence OS for resume analysis, ATS simulation, job matching, career planning, application management, and interview readiness.

Focus: Python · NLP · Machine Learning · Semantic Search · AI · Resume Analysis · Job Matching · Career Intelligence

Machine Learning / Data Science / Interactive Analytics

A machine learning project for predicting SpaceX launch outcomes, combining predictive modeling with interactive data visualization and geospatial analysis.

Focus: Python · Machine Learning · Logistic Regression · Streamlit · Plotly · Folium · Data Visualization

• 📈 Predictive analytics and machine learning
• 🫀 Healthcare-oriented ML experimentation
• 📰 Fake news detection
• 🎬 Recommendation systems
• 📊 Stock-price analysis and prediction
• 🤖 Generative AI applications
• 🌐 Web development projects
• 🔐 Quantum-secured communication research

A Hybrid QKD–PQC Architecture for Quantum-Secured Messaging with QBER-Driven Intrusion Detection

My research work explores the intersection of quantum key distribution, post-quantum cryptography and intelligent intrusion detection, with QBER-driven detection as part of the proposed security architecture.

Research interests: AI · Cybersecurity · Quantum Communication · Anomaly/Intrusion Detection

Selected learning areas include:

• IBM Data Science
• Oracle AI Foundations Associate
• AWS Educate — Machine Learning Foundation
• NPTEL — Data Mining
• Microsoft / Edunet Foundation — Foundations of AI
• AI & Data Analytics
• NLP with Python
• Computer Vision
• Microsoft Azure AI Essentials
• AWS Solutions Architecture Job Simulation
• Data Engineering & Big Data

I actively practice algorithmic problem solving and use coding platforms to strengthen:

• Data Structures & Algorithms
• Problem Solving
• SQL
• Python programming
• Analytical thinking

I am currently focused on building stronger AI, data and software engineering projects, improving problem-solving skills, and preparing for industry opportunities.

Focus areas: AI/ML · Python · Data Analytics · Backend Engineering · Generative AI · Problem Solving

Build with curiosity. Learn continuously. Solve meaningful problems.

_{© Arvindh Babu V}