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niharikaram2510/README.md

Hi, I'm Niharika 👋

AI/ML Student • Full-Stack Developer • AI Enthusiast

Building practical applications that combine AI, software, and real-world problem solving.


GitHub LinkedIn

👩‍💻 About Me

🎓 Final-year Artificial Intelligence & Machine Learning student
💻 Interested in Full-Stack Development & AI/ML
🚀 I enjoy building applications that solve practical, real-world problems
🌱 Currently improving my DSA, full-stack development, and modern AI skills

🛠️ Tech Stack

💻 Languages

Python JavaScript Dart SQL

🌐 Web & App Development

HTML5 CSS3 React Node.js Flutter

🤖 AI / Machine Learning

TensorFlow Keras MediaPipe Flask

🔧 Tools & Technologies

Git GitHub MySQL REST API

🚀 Featured Projects

🏍️ MotoSense AI

Intelligent Rider Assistance System

AI + IoT-based rider safety platform designed to provide real-time assistance for two-wheeler riders.

✨ Key Features

  • 🚨 Blind-spot detection
  • ⚠️ Front & rear collision warnings
  • 🆘 Crash detection & SOS
  • 📡 Proximity sensing
  • 🧠 Rider safety insights

🧰 Built With

React Native Expo Python
Arduino Computer Vision

🤟 MuteMate

Sign Language Translator

AI-powered sign language translation application using computer vision and deep learning to recognize gestures and translate them into text.

✨ Key Features

  • 🎥 Live gesture recognition
  • ✋ Hand landmark detection
  • 💬 Sign-to-text translation
  • 🧠 ML-based classification

🧰 Built With

Flutter Python Flask
TensorFlow MediaPipe

🌱 Currently Exploring

DSA · Full-Stack Development · Agentic AI
LangChain · LangGraph · AI-powered Applications

✨ Let's Build Something Meaningful

AI · Software · Innovation


⭐ Thanks for visiting my profile!

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  1. MotoSenseAI MotoSenseAI Public

    AI & IoT-based intelligent rider assistance system for two-wheelers with real-time collision detection, blind-spot monitoring, and emergency alerts.

    TypeScript

  2. MuteMate MuteMate Public

    AI-powered sign language translation application using computer vision and deep learning to recognize hand gestures and translate them into text.

    Dart