Welcometomyportfolio
Avinash Jain
Avinash Jain
About Me
Passionate frontend developer creating beautiful, interactive web experiences with modern technologies.
Who I Am
Tech enthusiast with a strong foundation in Python, JavaScript, and web development. Passionate about exploring diverse technologies, from mobile app development to machine learning.
Currently working on real-world projects involving full-stack development, React Native apps, and machine learning model integration.
Technical Skills
Programming Languages
- JavaScript (ES6, React, Next.js, Vite)
- TypeScript
- Java
- React Native
- Python (ML, OpenCV, PyWavelets)
- Node.js and Express.js
Databases & Tools
- MongoDB
- FastAPI, Flask
- HTML, CSS / SCSS
- Git / GitHub
Experience & Education
My academic journey and professional development in technology and machine learning.
Education
B.Tech, BIT Durg
Pursuing Bachelor of Technology
Experience
Full Stack Development, App Development, and Machine Learning
Gained hands-on experience in full-stack projects, mobile app development with React Native, and machine learning model integration through real-world applications and hackathons.
My Projects
A showcase of my work spanning web development, mobile apps, machine learning, and data science projects.
Hypertension Prediction using PPG Signals
Created a Java-based application to predict blood pressure trends from PPG signals using machine learning with Random Forest classifier achieving high accuracy.
ML-Based Music Recommender System
Built a cross-platform music recommendation app in React Native using Flask-based ML backend with k-Nearest Neighbors algorithm and Spotify integration.
Chatbot Web App
Built a chatbot that interacts with users using a predefined dataset for intelligent conversation and user assistance.
Todo Web App
A responsive web application using React and Vite to manage daily tasks efficiently, with features like task categorization and due date tracking.
Women's Safety Alert App
A React Native app with safety features including periodic check-ins, automatic distress alerts, SOS messages with live location, and push notifications.
Face Detector
Implemented a face detection application using Python and OpenCV, exploring basic machine learning concepts for real-time face recognition.
Interested in working together?