Nalin Vijayvargiya
@nv482
Nalin Vijayvargiya
@nv482
Full-stack and app developer with a strong interest in IoT and machine learning. Currently a 3rd-year B.Tech CSE student at SRMIST, exploring tech like React, Flutter, FastAPI, BERT, and ESP32.
Full-stack and app developer with a strong interest in IoT and machine learning. Currently a 3rd-year B.Tech CSE student at SRMIST, exploring tech like React, Flutter, FastAPI, BERT, and ESP32.
Web Developer, IEEE Computer Society
Kattankulathur, India
Hello Devfolio! 👋
About Me
Hey there! I'm Nalin Vijayvargiya, a third-year (Junior) B.Tech. Computer Science and Engineering student at SRM Institute of Science and Technology. I'm a passionate developer with hands-on experience in frontend, backend, web and app development, IoT, and machine learning.
Over the past few years, I’ve worked on diverse projects — from building scalable full-stack platforms and mobile apps to deploying intelligent ML models and sensor-based IoT systems. I love using modern tech like React, Flutter, FastAPI, MongoDB, and transformer models (like BERT and ViT) to create solutions that matter.
What Drives Me
I thrive on creating scalable, user-friendly applications that solve real problems. Whether it's a full-stack web app, an IoT project, or an intelligent mobile tool, I love building tech that works, looks good, and serves a purpose. Collaboration, problem-solving, and innovation are what fuel my drive.
Project Showcase
🧩 TaskVerse – MERN Stack Productivity App
- Full-stack task manager using React, Node.js, Express, MongoDB.
- JWT-auth, RESTful APIs, animated UI, and priority-based workflows.
💸 RoomiePay – Smart Expense Management
- Built with React.js, MySQL, and Python backend.
- Real-time group expense tracking, monthly settlements, and advanced triggers.
⚙️ VibeOut – IoT Emotion-Based Workout Assistant
- Facial and voice emotion recognition using FastAPI, React, and ESP32.
- Personalizes workout suggestions via GenAI integration.
🛡️ OnBoardX – IoT Road Safety System
- Built using ESP32, Raspberry Pi, Firebase, and FastAPI.
- Real-time vehicle alerts, ML accident detection, Twilio notifications.
😊 EmotionDetectionCNN – Facial Emotion Classifier
- Image classifier using EfficientNet and Vision Transformers (ViT).
- Trained on FER-2013 dataset for emotion recognition.
📰 Fake News Detection – NLP + BERT
- Fine-tuned BERT transformer to classify fake/real news articles.
- Includes preprocessing, model evaluation, and explainability metrics.
💱 FastForex – Real-Time Flutter Currency Converter
- Cross-platform Flutter app using OpenExchangeRates API.
- Offline mode, favorite currencies, conversion history & graphs.
📄 Scandroid – Smart Document Digitizer (Flutter)
- OCR-powered document scanner with ML Kit, biometric lock, tagging, and offline-first search.
What I Bring to the Hackathon
🧠 Technical Skills
Languages:
- C, C++, Java, JavaScript, Python, Dart
Frontend:
- HTML, CSS, JavaScript, React.js, Tailwind CSS, Flutter
Backend:
- Node.js, FastAPI, Flask, Express
Databases:
- MySQL, PostgreSQL, MongoDB, Firebase
App & IoT Dev:
- Flutter, Dart, Arduino, ESP32, Raspberry Pi
Tools & Platforms:
- GitHub, Git, Firebase, Heroku, Vercel, VS Code, Arduino IDE
🌟 Strengths
- Rapid problem-solver and self-learner
- Experience with solo and collaborative full-stack builds
- Skilled in IoT prototyping and ML integration
- Passionate about turning hackathon ideas into reality
Let’s Build Something Awesome!
I'm here to collaborate, innovate, and create. Whether it's designing the frontend, building the backend, or solving unexpected bugs at 3 AM, I'm ready for the challenge.
📌 Connect with Me:
Happy Hacking! 💻🚀