siddheshrm
I'm Siddhesh R Mestri, an aspiring Software Developer with hands-on experience in MySQL, PHP, Node.js. Check out my projects to see what I've been working on.
Thane, Maharashtra
Pinned Repositories
chrome-extension-character-counter
A simple Chrome extension to count the number of characters entered in the given text area and minify CSS and JavaScript.
cricket-trivia-api
Created & hosted on heroku, Cricket Trivia API using Node.js for project scorecard, hosted on: scorecard.siddheshmestri.online
currency_converter
Simple currency converter using HTML, CSS, JavaScript, and fetch API.
e-commerce
This project was developed as part of my CDAC coursework. It features a user-friendly design to ensure ease of use, with a simple and intuitive interface. The front-end utilizes HTML, CSS, and JavaScript. For the backend, we've used Node.js, with Google Firebase (NoSQL) as our database and Stripe as our payment gateway.
invoice-details
A simple Chemical Inventory Management System using HTML, CSS, JavaScript and localStorage for storing data locally.
laravel-crud
A basic Laravel application demonstrating CRUD operations: Create, Read, Update, and Delete records.
scorecard
This PHP and MySQL-based project is designed to manage a cricket tournament with user and admin functionalities. It allows users to sign up, view tournament scorecards and enables admins to manage matches.
StalkStock
Effortlessly track product availability and stay updated with email alerts. Built with PHP, MySQL, and cURL for web scraping, StalkStock automates product tracking on popular e-commerce platforms like Amazon, Tata Cliq, and more. Supports guest and registered user roles, secure password recovery, CAPTCHA validation, and responsive design.
visualization-dashboard
This project is a data visualization dashboard that uses Chart.js to create interactive visualizations for analyzing multiple factors. The dashboard includes various charts such as Bar Chart, Line Chart, Pie Chart, Bubble Chart, Heatmap, with filtering options for regions, years, etc. The visualizations work with a sample data set 1000 documents.
siddheshrm's Repositories
siddheshrm/chrome-extension-character-counter
A simple Chrome extension to count the number of characters entered in the given text area and minify CSS and JavaScript.
siddheshrm/cricket-trivia-api
Created & hosted on heroku, Cricket Trivia API using Node.js for project scorecard, hosted on: scorecard.siddheshmestri.online
siddheshrm/currency_converter
Simple currency converter using HTML, CSS, JavaScript, and fetch API.
siddheshrm/e-commerce
This project was developed as part of my CDAC coursework. It features a user-friendly design to ensure ease of use, with a simple and intuitive interface. The front-end utilizes HTML, CSS, and JavaScript. For the backend, we've used Node.js, with Google Firebase (NoSQL) as our database and Stripe as our payment gateway.
siddheshrm/invoice-details
A simple Chemical Inventory Management System using HTML, CSS, JavaScript and localStorage for storing data locally.
siddheshrm/laravel-crud
A basic Laravel application demonstrating CRUD operations: Create, Read, Update, and Delete records.
siddheshrm/scorecard
This PHP and MySQL-based project is designed to manage a cricket tournament with user and admin functionalities. It allows users to sign up, view tournament scorecards and enables admins to manage matches.
siddheshrm/StalkStock
Effortlessly track product availability and stay updated with email alerts. Built with PHP, MySQL, and cURL for web scraping, StalkStock automates product tracking on popular e-commerce platforms like Amazon, Tata Cliq, and more. Supports guest and registered user roles, secure password recovery, CAPTCHA validation, and responsive design.
siddheshrm/visualization-dashboard
This project is a data visualization dashboard that uses Chart.js to create interactive visualizations for analyzing multiple factors. The dashboard includes various charts such as Bar Chart, Line Chart, Pie Chart, Bubble Chart, Heatmap, with filtering options for regions, years, etc. The visualizations work with a sample data set 1000 documents.