Computer Engineering student and Developer Intern working on production-grade web, data, and AI systems.

github

Astha Singh  • Peerlist

➡️Engineered a secure authentication platform using MongoDB, Express.js, React, and Node.js with a robust user-based dashboard. ➡️Implemented JWT-based login, OAuth integration, and multi-factor authentication to enhance security. ➡️Encrypted sensitive user data and ensured secure session handling across protected routes. ➡️Focused on clean user experience and modular backend structure for future scalability.

Multi-Factor Authentication system

➡️Developed a real-time chat application using Node.js and Socket.io for WebSocket-based messaging. ➡️Enabled users to create/join chat rooms with live messaging, handling user events and session management effectively. ➡️Designed an intuitive frontend with vanilla HTML, CSS, and JavaScript for responsive user interactions. ➡️Emphasized smooth real-time communication with minimal latency and efficient resource handling.

Multi-Room Chat App (Node.js + WebSockets)

➡️A multi-room chat application where users can join different chatrooms, send and receive messages in real-time. This application is built using Java and demonstrates basic client-server communication, handling multiple chatrooms, user authentication, and message broadcasting to active participants in the chatroom. ➡️Features ➡️Multiple Chat Rooms: Users can choose from multiple available chatrooms (e.g., room1, room2, room3). ➡️Real-Time Messaging: Messages are broadcasted to all users in the active chatroom in real-time. ➡️User Authentication: Users are prompted to enter a username to authenticate before joining a chatroom. ➡️Threaded Client Handling: Each client connection is handled by a separate thread on the server to allow multiple users to interact simultaneously.

MultiRoom Chat Application using Java Multith

➡️Built a modular personal AI chatbot that delivers smart, helpful replies and supports web search, speech synthesis, and voice assistant capabilities. ➡️Used LangGraph to orchestrate model interactions (OpenAI, Groq) with clear separation of frontend, backend, and AI logic. ➡️Integrated environment variable handling via .env and managed dependencies with Pipenv. ➡️Provided a simple local web UI using Streamlit for direct interaction. ➡️Designed for extensibility with support for gTTS (text-to-speech), Twilio/Vapi voice assistant integration, and future multi-language support.

PersonalAI Chat

➡️Built a Python-based tool to parse resumes and align them with relevant job listings by scraping data from Glassdoor using BeautifulSoup. ➡️Extracted key skills from resumes and matched them against job requirements to offer tailored job suggestions. ➡️Designed as a lightweight data analysis utility for job-seeking optimization. ➡️Handled file input, parsing, and job matching logic in a modular and extensible manner.