Hi, I'm Santosh Nayak

Full-stack developer specialising in MERN stack, with a passion for artificial intelligence & machine learning.

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Projects Completed
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Technologies Mastered
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GitHub Repositories
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My Story

I am Santosh Nayak, a passionate BTech Computer Science & Engineering student at NIST Brahmapur. As a full-stack developer specialising in the MERN stack and an AI/ML enthusiast, I enjoy building innovative solutions that solve real-world problems.

My expertise spans from web development to machine learning, with hands-on experience in projects ranging from healthcare systems to advanced AI applications. I'm always eager to learn new technologies and take on challenging projects that push the boundaries of what's possible.

Education

Bachelor of Technology (BTech)

Computer Science & Engineering

NIST Brahmapur

2022 - Present

Relevant Coursework:
Data Structures & Algorithms Web Technologies Database Management Machine Learning Computer Networks Software Engineering

Programming Languages

Python 90%
JavaScript 85%
TypeScript 60%
Java 80%

Frontend Technologies

React.js 95%
Next.js 75%
HTML5/CSS3 95%
Tailwind CSS 90%

Backend & Database

Node.js 92%
Express.js 80%
MongoDB 90%
MySQL 85%

AI & Machine Learning

TensorFlow 85%
OpenCV 88%
PyTorch 80%
Pandas 90%
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Completed

Face Detection System

Advanced face detection and recognition system built using Raspberry Pi and Pi camera module. Implements custom-trained machine learning models for real-time facial recognition with 95% accuracy.

Key Features:

  • Real-time face detection and recognition
  • Custom model training with local dataset
  • Raspberry Pi hardware integration
  • High accuracy facial recognition
  • Live camera feed processing

Challenges & Solutions:

Optimized model performance for Raspberry Pi hardware constraints by implementing efficient algorithms and model compression techniques.

Python
OpenCV
TensorFlow
Raspberry Pi
NumPy
🏥
Completed

Healthcare Management System

Comprehensive full-stack healthcare application built with the MERN stack. Features patient management, appointment scheduling, medical records and real-time notifications.

Key Features:

  • Patient registration and profile management
  • Appointment scheduling system
  • Medical record storage and retrieval
  • Real-time notifications
  • Doctor-patient communication portal
  • Prescription management

Challenges & Solutions:

Implemented secure patient data handling and HIPAA compliance standards while maintaining optimal performance.

React.js
Node.js
Express.js
MongoDB
Socket.io
JWT
📹
Completed

Zoom Clone Application

Full-featured video conferencing platform built with WebRTC technology for seamless communication. Supports multiple participants with high-quality video and audio calls.

Key Features:

  • High-quality video and audio calls
  • Screen sharing capabilities
  • Real-time chat functionality
  • Meeting room creation and management
  • Participant controls (mute, camera toggle)
  • Recording functionality

Challenges & Solutions:

Handled WebRTC peer connections and media streaming optimization to support 10+ participants simultaneously.

React.js
Node.js
WebRTC
Socket.io
Express.js
PeerJS
📧

Email

santoshnayak7320@gmail.com

📱

Phone

+91 7326943342

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Location

Brahmapur, Odisha, India