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notewise
January 26, 2026 – Present
CLI tool to generate deep study notes from YouTube. Features chapter detection, smart chunking for long videos, and multi-language support.
View Projectblazeserve
October 10, 2025 – Present
Fast, dependable HTTP file server for sharing files and folders — supports byte-range/multi-range downloads, TLS, Basic Auth, throttling, uploads, streaming ZIP, CORS, and a polished CLI.
View Projectfile-transfer
September 21, 2025 – September 21, 2025
A cross-platform desktop application for transferring files and folders over a local network, built with Python and Tkinter. Features include auto-discovery, real-time progress tracking, and a user-friendly GUI.
View Projectgitresume
June 15, 2025 – Present
GitResume: AI-powered tool that transforms GitHub repositories into professional, ATS-optimized resumes and technical summaries.
View Projectcontrol-my-home-bulb
June 11, 2025 – June 22, 2025
💡 A self-hosted PWA dashboard to control Tasmota smart bulbs via MQTT. Built with Express, TypeScript, and MQTT.js. Features real-time updates, RGB/CCT control, and easy one-click deployment to Vercel.
View Projectfinance-manager
April 2, 2025 – June 22, 2025
💰 A comprehensive personal finance manager built with Flask, MongoDB, and Bootstrap 5. Features include expense tracking, budgeting, advanced reporting, user management, and a secure admin system. Deploys easily with Docker.
View Projectimdb-tmdb-movie-scraper
October 20, 2024 – June 23, 2025
A powerful and concurrent Scrapy project to scrape comprehensive movie and TV series data from IMDb and TMDb. Features basic and advanced spiders, data enrichment via TMDb API,
View ProjectObject-Detection-with-Aruco-Marker
June 18, 2024 – June 18, 2024
Object Measurement Project Using ArUco Marker and OpenCV
View Projectflipkart-grid-5.0
June 18, 2024 – June 23, 2025
🤖 A robotic pick-and-place solution for the Flipkart GRID 5.0 Finals. Features real-time object detection (YOLO), inverse kinematics, and multi-camera control using Python, OpenCV, RealSense, and Arduino.
View ProjectCultural Fit Analysis
The candidate's portfolio shows a strong inclination towards personal projects across various domains (AI, robotics, web development, CLI tools). This indicates a self-starter who is passionate about technology and continuous learning, which can be a positive cultural fit for an innovative environment. However, the projects are heavily backend/scripting focused, with limited direct experience in a dedicated React frontend role, which might require a significant shift in focus. The lack of team projects or open-source contributions makes it hard to assess collaboration style.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and building. The diversity of projects suggests adaptability and a willingness to explore different technical domains. However, without formal work experience or psychometric test results, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.