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adars-h-agrawal/README.md

Hi, I'm Adarsh Agrawal 👋

AI/ML Engineer • Full-Stack Developer • Computer Vision & NLP Enthusiast

I'm passionate about building intelligent systems at the intersection of software engineering, machine learning, and real-world problem solving.

My interests include Artificial Intelligence, Large Language Models, Computer Vision, Full-Stack Development, Real-Time Systems, and Data-Driven Engineering.

🚀 Featured Projects

🧠 Confidence-Calibrated Hallucination Detection

Machine learning framework for detecting hallucinated medical LLM responses using TF-IDF features, Sentence-BERT embeddings, confidence calibration, and reference-guided verification.

Tech Stack: Python • Scikit-Learn • Sentence Transformers • Streamlit • NLP

🌍 Fluently

AI-native language learning platform featuring real-time messaging, video calling, secure authentication, and AI-assisted learning experiences.

Tech Stack: React • Node.js • MongoDB • Stream Chat • Stream Video • Ollama

🛡️ Advanced Network Intrusion Detection System

AI-powered cybersecurity system designed to analyze network traffic, identify suspicious behavior, and detect potential intrusion attempts using machine learning techniques.

Tech Stack: Python • Scikit-Learn • Network Security • Machine Learning

🔬 Explainable Skin Lesion Segmentation

Deep learning framework for explainable skin lesion segmentation using uncertainty estimation, Grad-CAM visualizations, and medical image analysis.

Tech Stack: TensorFlow • Keras • OpenCV • Streamlit • Computer Vision

🛠 Tech Stack

Languages

Python C C++ Java JavaScript

AI / Machine Learning

TensorFlow PyTorch Scikit-Learn Pandas NumPy

Full-Stack Development

React Node.js Express MongoDB

Mobile Development

Flutter Dart

Tools & Platforms

Git Linux VS Code

🏆 Competitive Programming

LeetCode Stats

📊 GitHub Analytics

GitHub Streak

📫 Connect

Building intelligent systems that are useful, reliable, and explainable.

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  1. advanced-network-intrusion-detection advanced-network-intrusion-detection Public

    An AI-powered Network Intrusion Detection System (NIDS) using Python, Scapy, and Streamlit for real-time threat analysis and visualization.

    Python

  2. confidence-calibrated-hallucination-detection confidence-calibrated-hallucination-detection Public

    Machine learning framework for detecting hallucinated medical LLM responses using TF-IDF, Sentence-BERT embeddings, confidence calibration, and reference-guided verification.

    Jupyter Notebook

  3. explainable-skin-lesion-segmentation explainable-skin-lesion-segmentation Public

    Deep learning framework for explainable skin lesion segmentation using MSRF-inspired architecture, edge-aware learning, and medical image analysis.

    Python

  4. fluently fluently Public

    Full-stack language learning platform featuring real-time messaging, video calling, user authentication, and AI-assisted learning experiences.

    JavaScript