Utkarsh-Tyagi-16 - Overview

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Hi 👋, I'm Utkarsh Tyagi

🚀 Full Stack Developer | Gen AI Enthusiast | Machine Learning Specialist | Deep Learning Engineer

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🎯 About Me

I'm a passionate and innovation-driven Computer Science student with strong expertise in:

  • Data Structures & Algorithms
  • Full Stack Development (MERN, Django, Flask)
  • Generative AI | NLP | CV
  • Cloud & DevOps (AWS, Firebase, GitHub Actions)

I build scalable software products and intelligent systems using modern tools & frameworks.
Currently seeking internships to expand my skills in Gen AI, ML Engineering, and Backend Development.


💡 Highlights

  • 🧠 Gen AI Projects: Chatbots, ISL to Text Translator (Signify), Text-to-Sign + AR Models
  • 🚗 Self-Driving Car: Virtual simulation with object detection (92% accuracy) & road sign recognition (97%)
  • 🤖 ML Models: Disease Prediction, Behavioral Cloning, Feedback Loop Learning
  • ⚙️ Hands-on with CV, real-time processing, interactive UIs, cloud tools, and performance optimization

💬 Ask Me About

Generative AI, Full Stack Dev, NLP, OpenCV, Computer Vision,
Machine Learning, Python, C++, Java, TensorFlow, PyTorch, AWS

📫 Reach Me At
📧 utkarshty2004@gmail.com
🌎 Portfolio Link https://personal-portfolio-plum-pi-24.vercel.app/


🌐 Connect With Me


🛠️ Languages, Libraries & Tools

💻 Programming Languages

C++, Python, Java, JavaScript, SQL, HTML/CSS

🌐 Full Stack Development

React.js, Node.js, Express.js, MongoDB, Next.js, TailwindCSS, Firebase, Django, Flask

🤖 AI/ML & GenAI Stack

PyTorch, TensorFlow, Keras, OpenCV, scikit-learn, Pandas, NumPy, Seaborn,
HuggingFace Transformers, spaCy, NLTK, CNNs, RNNs

☁️ DevOps & Cloud

AWS, Git, GitHub Actions, Render, Vercel, Streamlit

🔧 Tools & Platforms

Jupyter Notebook, VS Code, MySQL, SQLite, PostgreSQL


📈 GitHub Stats


🧠 Featured Projects

  • Signify – ISL Translator with AR + NLP: Real-time sign language translator with 3D modeling
  • Self-Driving Simulation: Webots + Python model with 92% detection accuracy, 25% route optimization
  • AI Chatbot with Feedback Loop: Human-like interactions with 87% intent recognition
  • Disease Prediction App: Streamlit-based tool with 91% accuracy on real health data

Languages and Tools:

arduino c css3 django firebase flask git html5 java mssql mysql nodejs opencv pandas python pytorch scikit_learn seaborn sqlite tensorflow