I'm Aniket Chawardol, a passionate and driven student with a strong interest in full-stack web development and a dedication to mastering Data Structures and Algorithms. I thrive on building efficient and scalable web applications, always focusing on writing clean, maintainable code and adhering to best development practices. My goal is to continuously enhance my problem-solving abilities and contribute to impactful projects.
I am currently pursuing a B.Tech in Computer Science and Engineering from the Indian Institute of Information Technology and Management, Gwalior (2023-2027).
Frontend:
Backend & Fullstack:
Databases:
Testing:
DevOps & Cloud:
Languages:
Tools & Platforms:
- Description: A platform that enables live code editing with real-time, multi-user cursor tracking and an integrated chat feature.
- Key Features: Secure user authentication using Auth0 and an enhanced user experience with the professional-grade Monaco Editor.
- Tech Stack: React, Vite, Socket.IO, Node.js, MongoDB.
- Live Demo: codesarthi.onrender.com
- Description: A comprehensive platform designed to digitize and standardize medical reports, offering secure and instant access for both patients and doctors. This full-stack application connects patients with hospitals and features secure JWT authentication and efficient search functionalities.
- Key Features: Secure file uploads with Multer, CI/CD pipeline management, and robust cookie handling.
- Tech Stack: React, Tailwind CSS, Node.js, Express, MongoDB, REST APIs, Cloudinary, bcrypt.
- Live Demo: doctors-com-frontend.vercel.app
- Description: An open-source, PR-driven visual regression and functional testing tool designed to monitor web pages for UI regressions, broken layouts, and ad placement failures. This automated application runs daily to capture full-page screenshots and compare them against approved baselines, ensuring pixel-perfect UI consistency.
- Key Features: Automated daily scans via GitHub Actions, dynamic content masking to prevent false positive alerts, and consolidated HTML email digests with inline visual diffs.
- Tech Stack: Node.js, Puppeteer, pixelmatch, MongoDB, Cloudinary, Nodemailer, GitHub Actions.
- Repository: aniketchawardol/gazebot
