Ayush Pandey's repositories
atithidev-mongoose-api
Serverless API for the Atithidev Website, powered by AWS Lambda. Designed for scalability, efficiency, and cost-effectiveness.
sentiment-analyzer-api
A lightweight, scalable, and serverless API for real-time sentiment analysis. Built using Flask, NLTK's SentimentIntensityAnalyzer, and deployed on AWS Lambda with the Serverless Framework, it efficiently classifies text as positive, negative, or neutral.
ap-dev-github
This repository contains my GitHub Profile README, showcasing my skills, projects, and achievements. Regularly updated to reflect my latest work in backend development, cloud computing, and system design. 💡
atithidev-website
This website is a prototype of Couch Surfing Hosts Community Idea we Proposed.
expressBookReviews
nodejsFinalModule
portfolio_website
Tutorial created by Enyel Sequeira, taught by JavaScript Mastery
project_modern_ui_ux_gpt3
Master the creation of Modern UX/UI Websites
adobe-hackathon-2024-round1b-Winners
Round 1b submission for the adobe india hackathon 2025
adobe-hackathon-round1a-Winners
Submission for the Round 1A of Adobe Hackathon 2025
adroit-submission
sentiment-analyzer automated deployment cicd pipeline setup using the jenkins and then using the grafana and graphite to analyze it.
atithidev-db-api
A fully scalable, AWS Lambda-based API . It enables seamless host and review management with serverless deployment, CI/CD automation, and robust security while being highly optimized for AWS cost efficiency.Now enhanced with TypeScript type safety, Jest testing, package pruning.
bfhl-exam
This is the submission of the REST API made for the Bajaj Full Stack exam. It uses Cloudflare’s edge network to run the API at near-zero latency and at a very low cost. It can be used for free for up to one million requests per month, and it can practically handle around 30,000 concurrent requests.
heathcare-symptom-checker
A healthcare-symptom-checker for unthinkable submission.
SonarGuard
SonarGuard is a web + IoT security system that provides real-time motion detection and alerts for home security. It integrates Next.js, AWS Cognito, MongoDB, and Firebase to offer a secure and scalable solution.
swiftvault-go-cloudrun
swiftvault-go-backend-cloudrun
tui.editor
🍞📝 Markdown WYSIWYG Editor. GFM Standard + Chart & UML Extensible.