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Parshav2304/README.md

Hi, I'm Parshav Shah ๐Ÿ‘‹

AI/ML Engineer & Full-Stack Developer

I am a B.Tech Computer Science and Engineering student specializing in building end-to-end, scalable applications, designing machine learning models, and deploying production-grade systems. I love bridging the gap between intelligent predictive algorithms and premium user experiences.


โšก Technical Expertise

๐Ÿง  Machine Learning & Data Science

Python scikit-learn XGBoost NumPy Pandas MediaPipe

๐Ÿ’ป Frontend & Mobile

React Flutter Dart HTML5 CSS3 JavaScript

โš™๏ธ Backend & Databases

FastAPI Flask MongoDB PostgreSQL

๐Ÿ› ๏ธ Developer Tools & DevOps

Git Docker Vercel Render


๐Ÿš€ Highlighted Projects

โšก PS Fitness

Your Elite AI-Powered Health & Wellness Coach

  • Description: An end-to-end fitness platform featuring context-aware coaching, in-memory product scanning caches, and visual meal analysis.
  • Tech Stack: FastAPI, React.js, MongoDB, Google Gemini 2.5 Flash, Chart.js.
  • ML Integration: Integrates a custom-trained XGBoost Classifier (with 5-fold cross-validation) to predict personalized fitness plans.

๐Ÿฆ… GarudaRush

ML-Enhanced DDoS Attack Detection & Monitoring System

  • Description: A comprehensive network traffic analysis tool capturing real-time flows, monitoring agent status, and alerting on active threats.
  • Tech Stack: Flask, React, MongoDB, PyShark, Scikit-learn.
  • ML Integration: Real-time packet parsing and ML classification for active DDoS intrusion detection.

๐Ÿ›ก๏ธ PhishScan

Chrome Extension Threat Intelligence & Redirection Resolver

  • Description: A Manifest V3 Google Chrome extension designed to scan, parse, and highlight phishing or malicious URLs in real time.
  • Tech Stack: JavaScript, HTML5/CSS3, Manifest V3.
  • Threat Integration: Queries VirusTotal API and Google Safe Browsing, with a fallback local OpenPhish threat intelligence feed. Features a custom parser for incoming emails on Gmail.

Hybrid Text Mining & Coordinates Geodesic Recommendation Engine

  • Description: A Jupyter Notebook project proposing optimal healthcare facilities based on a user's location and specific symptom requirements.
  • Tech Stack: Pandas, NumPy, Scikit-learn, Geopy, Matplotlib.
  • Algorithm: Implements TF-IDF Vectorization and Cosine Similarity on department metadata, combined with Geodesic distance filtering from geo-coordinates.

๐Ÿ† Key Achievements

  • Top 50 / 630+ Teams: Ranked in the top tier at the VOIS Innovation Marathon for building high-performance, full-stack prototypes under tight time constraints.
  • Academic Projects Leader: Acted as the technical lead on multiple university full-stack/security projects, implementing standard dev-ops setups (Docker, CI/CD).

๐Ÿ“ฎ Get In Touch

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  1. ps_fitness ps_fitness Public

    Elite AI-powered fitness coaching platform combining FastAPI, React, and an XGBoost classification model with Google Gemini Multimodal Vision.

    JavaScript