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shahtanish/README.md

Hi, I'm Tanish Shah

🤖 AI/ML Engineer | 🌐 Full Stack Developer

Machine Learning • Generative AI • Full Stack Development

Typing SVG

🚀 About Me

  • 🎓 MCA Student at VIT Chennai
  • 🤖 Passionate about Machine Learning and Generative AI
  • 🌐 Building Full Stack Applications and AI-Powered Solutions
  • 🚀 Always Learning and Building Impactful Projects

🎯 Focus Areas

  • 🧠 Machine Learning
  • 🤖 Generative AI
  • 🌐 Full Stack Development

🛠️ Tech Stack

💻 Programming Languages

Java Python JavaScript

🤖 AI / ML Frameworks

PyTorch TensorFlow Scikit-Learn Pandas NumPy

🎨 Frontend Development

React Next JS HTML5 CSS3 Tailwind CSS Bootstrap

⚙️ Backend Development

NodeJS ExpressJS Laravel

🗄️ Databases

MySQL MongoDB

🛠️ Tools & Platforms

Git GitHub Docker Postman

📌 Featured Projects

📊 Employee Attrition Prediction

Machine Learning-based system for predicting employee attrition using workforce analytics and predictive modeling techniques.

👁️ BilateralFusionNet

A Multimodal Deep Learning Framework for Multi-Label Ocular Disease Classification Using Fundus Images and Patient Metadata with Explainable AI.

🫁 PulmoScan AI

AI-powered pulmonary disease detection system using medical imaging and deep learning techniques.

🍔 Byte2Bite

A Multi-Vendor Food Ordering Platform featuring restaurant management, order tracking, and seamless user experience.

📫 Connect With Me

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  1. BYTE2BITE BYTE2BITE Public

    Blade

  2. employee-attrition employee-attrition Public

    Employee Attrition Prediction using Stacked Ensemble Learning (Random Forest + XGBoost + Logistic Regression) with 98.23% Accuracy and Streamlit Deployment.

    Python

  3. PulmoScan-AI PulmoScan-AI Public

    An AI-powered medical imaging system that classifies Chest X-Ray images into COVID-19, Tuberculosis, Pneumonia, and Normal categories using transfer learning and deep convolutional neural networks.

    Jupyter Notebook

  4. BilateralFusionNet BilateralFusionNet Public

    Multimodal Deep Learning Framework for Multi-Label Ocular Disease Classification using Bilateral Fundus Images, Patient Metadata and Explainable AI.

    Jupyter Notebook