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  • ettimadai,Coimbatore
  • 10:30 (UTC -12:00)

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Adi-0202/README.md

MasterHead


🙋‍♂️ Who am I?

Hi 👋 I'm Aditya S — a curious developer from Coimbatore, India, studying Artificial Intelligence & Data Science. I love building things that blend full-stack web development with machine learning and AI.

"Still learning 🔥 — but building, shipping, and figuring it out along the way."

🎓 Academic Background
Course B.Tech in Artificial Intelligence & Data Science
Location Ettimadai, Coimbatore
Focus Full Stack Development, Machine Learning, AI, LLMs, RAG Systems

⚡ Core Building Abilities

  • 🌐 Full Stack Engineering: Building end-to-end web applications with React, Node.js, and modern databases
  • 🤖 ML & Deep Learning: Designing and training models for real-world tasks (disease detection, URL classification, news detection)
  • 🔍 RAG & LLM Integration: Building Retrieval-Augmented Generation pipelines for intelligent applications
  • 🧩 DSA & Problem Solving: Strengthening algorithmic thinking with Java and Python
  • 🛰️ Edge AI: Deploying ML models on hardware (Raspberry Pi based rovers)

🛠️ Technical Arsenal

(STILL LEARNING 🔥 AND FAMILIAR WITH THESE FRAMEWORKS 🔥)

Languages

Python JavaScript Java SQL HTML5 CSS3

Frontend Frameworks & Libraries

React Next.js Tailwind CSS Vite

Backend & Databases

Node.js Express Flask MongoDB PostgreSQL

AI & Machine Learning

PyTorch TensorFlow Scikit-Learn Pandas Jupyter

Infrastructure & Tools

Git GitHub Docker Linux VS Code

🚀 Projects I've Worked On

Project Description Stack
🔍 fake-news-detector RAG-based ML system for detecting fake news with LLM integration Python, ML, RAG
🧠 Neural-Sieve-Cascade Layered Deep Learning approach for Malicious URL Detection Python, Deep Learning
🌿 Plant-Disease-Detection-Rover Raspberry Pi 5 rover for real-time plant disease detection using deep learning Python, Edge AI, RPi5
🌡️ PINN-Heat-Diffusion Physics-Informed Neural Network for heat diffusion modelling Python, Jupyter
💡 LecturePulse Smart lecture engagement tool JavaScript
📚 Fullstackopen-exercise Exercises from Full Stack Open course CSS, JavaScript

🎯 What I'm Currently Up To

📚 Learning     →  Full Stack Open (React, Node.js, Databases)
🧩 Grinding     →  Data Structures & Algorithms (Java + Python)
🤖 Building     →  Fake News Detector with RAG + ML
🔭 Exploring    →  LLMs, Vector Databases, AI Pipelines

📈 GitHub Stats

GitHub Stats Top Languages

🤝 Challenges I'm Ready To Tackle

  1. Building intelligent full-stack apps powered by ML models
  2. Integrating LLMs and RAG pipelines into real-world products
  3. Deploying edge AI on constrained hardware (Raspberry Pi, microcontrollers)
  4. Designing scalable backend APIs for AI applications
  5. Solving complex algorithmic problems efficiently

🔗 Connect With Me

Popular repositories Loading

  1. PINN-Heat-Diffusion PINN-Heat-Diffusion Public

    Jupyter Notebook

  2. Neural-Sieve-Cascade Neural-Sieve-Cascade Public

    Layered Deep Learning Approach for Malicious URL Detection via Neural Sieve Cascade

    Jupyter Notebook 1

  3. Plant-Disease-Detection-Rover Plant-Disease-Detection-Rover Public

    Forked from shreesanth-78/Plant-Disease-Detection-Rover

    A Raspberry Pi 5 based rover for real-time plant disease detection using deep learning.

    Jupyter Notebook 1

  4. fake-news-detector fake-news-detector Public

    JavaScript

  5. Fullstackopen-exercise Fullstackopen-exercise Public

    Exercise's from fullstackopen

    CSS

  6. LecturePulse LecturePulse Public

    Forked from rishima17/LecturePulse

    JavaScript