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Hi there πŸ‘‹, I'm Kanishk

πŸ‘¨β€πŸ’» About Me

Passionate developer born on September 24, 2003, with interests in Web development, Mobile applications, and Cloud technologies. Always exploring new technologies and looking to collaborate on innovative Projects. Fluent in English and Hindi.

πŸ“š Currently Learning

DSA in Java Docker

πŸŽ“ Academic Achievements

  • Selected among 800+ applicants for MIT Hackathon 2025, developed AI Copilot for Renewable Energy Data Rooms
  • Qualified for the 2nd round of the Nirman 4.0 Hackathon at Silicon University
  • Awarded Certificate of Excellence as Winner of Startup Innovation (Team blocbyte) by Unstop

πŸ› οΈ My Tech Stack

Programming Languages

JavaScript Dart Java C

Web Development

HTML5 CSS-3 React TailwindCSS Express Node.js

Mobile App Development

Flutter Firebase

Database & Tools

MySQL MongoDB Kafka GitHub GitHub Actions Microsoft Azure

πŸ“Š GitHub Stats

Kanishk's GitHub stats Kanishk's GitHub streak

Most Used Languages

Kanishk's top languages

πŸ† GitHub Trophies

Kanishk's GitHub Trophies

πŸš€ Featured Projects

πŸ“ Bloggify: Blogging Platform

Modern full-stack blogging platform with rich features

  • User authentication with profile management and personalized content feeds
  • Rich text editor with media uploads and responsive design for all devices
  • Technologies: React, Node.js, Express, MongoDB, Azure Cloud Services

πŸ“Š Excel Analytics Platform

Web-based platform for advanced Excel file analytics and visualization

  • Implemented interactive dashboards for data visualization and dynamic report generation
  • Technologies: HTML, CSS, Javascript, React.js, MongoDB, Express.js, Node.js

πŸ“± Street Sense Damage Detection App

Flutter-based application with camera functionality for road damage detection using image processing

  • Implemented image capture and processing techniques for damage detection
  • Technologies: Flutter, Dart, Kotlin

πŸ“ˆ FinReport: Stock Earnings Forecast

Stock forecasting system combining technical analysis with financial news processing

  • LSTM model for predictions with risk assessment using EGARCH volatility estimation
  • Technologies: Python (PyTorch, NumPy, Pandas), HTML/CSS, YAML

πŸ† Extra-Curricular Activities

  • πŸ‘¨β€πŸ’» Active Open Source Contributor
  • πŸ“š Continuous Learning Enthusiast
  • 🀝 Collaboration and Team Projects
  • 🎯 Actively participated in College Society Events
  • πŸ‘₯ Strong team leadership abilities with adaptability

πŸ“« Connect with Me

LinkedIn Β Β  X Β Β  Instagram Β Β  Email Β Β  LeetCode

πŸ“Š Profile Analytics

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