1. AgriScan – AI-Powered Crop Health Monitoring System
Tech Stack: Python, TensorFlow/PyTorch, FastAPI, React / Mobile App, MongoDB
AI-based system that detects crop diseases from leaf images in real time.
Provides multilingual diagnosis, remedies, and a mobile-first rural-friendly interface.
Optimized for low-bandwidth regions with improved prediction accuracy.
2. Subscription Manager & Bill Reminder
Tech Stack: React Native / Flutter, Node.js, Firebase / MongoDB
Mobile app to track subscriptions and upcoming bill payments in one place.
Offers due-date reminders, auto-categorization, and monthly expense overview.
Supports optional auto-pay integration for smooth payments.
Sanketkumar Parmar
IT Engineering
Ahmedabad
Summary
IT Engineering student with experience in web, mobile, and AI-based application development. Proficient in React, Node.js, Python, and modern development tools. Passionate about building scalable, user-friendly solutions that solve real-world problems.
Work History
Education
Bachelor of Engineering - Information And Technology
Government Engineering College Gandhinager
Gujrat, India 04.2001 -
Skills
Programming Languages: JavaScript (ES6), HTML, CSS, SQL, Java, PythonFrameworks & Libraries: React, Nodejs, Express, React Native / Flutter, TensorFlow / PyTorchDatabases & Cloud: MongoDB, MySQL, FirebaseTools & Platforms: Git, GitHub, NPM, Visual Studio Code, REST APIsOther Skills: Machine Learning Models, Image Recognition, Mobile App Development
Courses & Certifications
Foundation of Cyber Security – Coursera
Introduction to AI – IBM SkillBuild
Full-Stack Web Development (Self-Learning: React, Node.js)
Timeline
Bachelor of Engineering - Information And Technology
Government Engineering College Gandhinager
04.2001 -