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Ralblast/README.md

<h1>Hey there, I'm Abhishek Singh</h1>

Computer Science Student | Aspiring Software Engineer | Full Stack developer

 

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🌱 About Me

I'm a Computer Science student from India, pursuing my B.Tech in Computer Science and Engineering. I am deeply passionate about turning complex problems into elegant software solutions.

  • 💡 My core interests are software engineering, data structures & algorithms, and full-stack web development.
  • 🎯 I love learning new technologies, building impactful projects, and improving my logical thinking every day.
  • ⚡ Outside of tech, I enjoy reading books, playing competitive chess, boxing, and hitting the gym.

🛠️ My Tech Stack

A showcase of my skills, organized by category in a clean, easy-to-read format.

Languages Frontend Backend & Database Tools & Platforms

🧩 Featured Project

A high-utility web application designed to solve a critical pain point for students at VIT-AP by providing a fast and intuitive way to manage and plan their class attendance.

  • The Problem: Students struggled with manually tracking their attendance, often leading to miscalculations and stress about meeting the mandatory percentage.
  • My Solution: I architected and built a responsive Single-Page Application using React.js for a dynamic front-end and Tailwind CSS for a clean, mobile-first design. All calculations are handled efficiently on the client-side to ensure instantaneous feedback.
  • Key Outcome: The app was adopted by hundreds of students, successfully eliminating manual tracking errors and providing clear, immediate insights into their academic standing.

A full-stack healthcare web application that intelligently analyzes user-reported symptoms and suggests possible medical conditions using AI-driven insights.

  • The Problem: People often struggle to understand their symptoms before consulting a doctor, leading to confusion or misinformation from unreliable sources.
  • My Solution: Built a secure and scalable system using React (Vite), Node.js, Express, and MongoDB with Grok AI integration for intelligent symptom analysis. Implemented RESTful APIs with Helmet, CORS, input validation, and Winston logging for robust backend performance.
  • Key Outcome: Delivered an AI-powered diagnostic experience with a structured multi-step workflow, maintaining 95% uptime through Vercel and Render deployments with active health monitoring.

       

📊 GitHub Analytics & Statistics

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🌐 Let's Connect

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  ✨ Built with passion. Refined with purpose.

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  1. vit-ap-attendance-planner vit-ap-attendance-planner Public

    code repo

    JavaScript

  2. HealthCare-Symptom-Checker HealthCare-Symptom-Checker Public

    JavaScript

  3. awesome-low-level-design awesome-low-level-design Public

    Forked from ashishps1/awesome-low-level-design

    Learn Low Level Design (LLD) and prepare for interviews using free resources.

    Java

  4. Research-Papers Research-Papers Public

  5. daily-study-tracker daily-study-tracker Public

    JavaScript

  6. You-Dont-Know-JS-1 You-Dont-Know-JS-1 Public

    Forked from jumaschion/You-Dont-Know-JS-1

    A book series on JavaScript. @YDKJS on twitter.