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nodejs

Student Attendance Tracker is a small, self-hosted web app for tracking student attendance using a human-readable JSON store. Built with Vite and React and bundled with a minimal Node server for local testing, it’s easy to customize and deploy for small-classroom use.

SyllabusAI is an AI-powered personalized learning curriculum generator that creates custom week-by-week learning plans using the groq API.

What it does:

Users enter their learning topic, skill level, available hours/week, goals, and preferred learning style The groq LLM generates a structured syllabus with weekly themes, objectives, curated resources, projects, and checkpoints Users can track progress, enrich resources with YouTube search, and export syllabi as Markdown Tech Stack:

React 18 frontend with vanilla CSS and design tokens Express proxy server for API key management and resource search groq API for AI curriculum generation Instrument Serif + Inter typography Quality & Standards:

ESLint + Biome + Prettier for code quality (0 errors) Jest + React Testing Library with 80% coverage threshold Husky pre-commit hooks + GitHub Actions CI/CD Security scanning: Gitleaks, CodeQL, Dependabot Full documentation: README, CONTRIBUTING, USER_MANUAL, CODE_OF_CONDUCT Key Features: Interactive week cards, resource enrichment, Markdown export, responsive UI, server-side API security, progress tracking.

AI-powered multilingual software architecture generator supporting Gemini BYOK and Ollama(local setup) for startup planning and MVP design.

SafeRoute AI is a machine-learning-powered road safety platform that predicts accident blackspots, analyzes route risk, and recommends safer travel routes using FastAPI, Next.js, SQLite, and XGBoost.

Suraksha is a women safety and emergency response platform built with Next.js and TypeScript. The project provides emergency alert features, location sharing, safety assistance, and real-time support tools aimed at improving personal security and rapid emergency communication.

Telugu Thodu is a full-stack web application built with React (frontend) and Node.js/Express (backend) that generates Telugu words starting with a user-supplied Telugu letter by calling the Gemini API. Generated results are saved to MongoDB for history and analytics. The app provides a polished, responsive UI, input validation for Telugu characters, and secure handling of the Gemini API key via environment variables.

The Image Captioning project is an AI-based system that automatically generates textual descriptions for images. It combines computer vision and natural language processing (NLP) techniques to understand the content of an image and produce a human-readable caption.

The system uses deep learning models, typically a Convolutional Neural Network (CNN) for extracting image features and a Recurrent Neural Network (RNN) or Transformer-based model for generating sentences. This enables applications such as assisting visually impaired users, enhancing image search engines, and automating social media content tagging.

AI-powered chatbot application with React frontend and Node.js backend for interactive conversations

AI-powered chatbot application with React frontend and Node.js backend for interactive conversations

An AI-powered health assistant that provides probabilistic health insights, medication reminders, and a critical emergency triage system. Built on Firebase with a focus on data privacy.

Telugu Meme Remix / Desi Meme Center — a full-stack meme hub to create, remix and share Telugu memes. Live demo: https://app--telugu-meme-remix-c8f05cce.base44.app

A comprehensive and robust Node.js SDK for the GitLab API. Simplifies building powerful applications by providing a full OAuth 2.0 flow, deep repository analytics, webhook management, built-in rate limiting, intelligent caching, and full TypeScript support.