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Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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darpanhh/README.md

About Me

👋 Hello there, I'm Darpan!

I am an AI/ML enthusiast and Full Stack Software Developer based in Nepal. I specialize in building end-to-end applications that bridge cutting-edge artificial intelligence models with reliable, scalable web architectures.

  • 🔭 Current Focus: Architecting deep learning, computer vision, and real-world automated systems.
  • 💡 Engineering Philosophy: "Build systems that solve real human problems with simplicity and robustness."
  • 🌱 Continuous Exploration: LLMs, Agentic Workflows, Real-time Computer Vision (YOLO/MediaPipe), and Distributed Backends.
  • 🎯 What Drives Me: Learning by doing, writing maintainable code, and contributing to high-impact projects.
 Developer Coding Animation

Tech Stack & Toolkit

💻 Core Programming Languages

Python JavaScript TypeScript C++ HTML5 CSS3 SQL

🧠 Artificial Intelligence, Computer Vision & Data Science

TensorFlow Keras OpenCV MediaPipe Scikit-Learn Pandas NumPy Matplotlib Seaborn LangChain

🌐 Full Stack Web & Backend Frameworks

React Next.js FastAPI Django REST Node.js Express.js Tailwind CSS Bootstrap Streamlit

🛠️ Databases, DevOps & Developer Tools

PostgreSQL Git GitHub VS Code Jupyter Vercel

Featured Projects

🏛️ Grievance Management System

Full Stack Grievance Resolution & Tracking Platform
An enterprise-grade role-based system (Student, Staff, HOD, Campus Admin) featuring AI-powered spam classification, confidential tracking, automated departmental routing, and escalation timelines.

React 19 Django REST Scikit-Learn

📊 Role-Based Access Control | AI Spam Filtering | Real-Time Workflow

👁️ VisionProctor

AI Online Proctored Exam System
An automated online examination supervision platform that utilizes computer vision for real-time face tracking, head pose estimation, gaze tracking, and unauthorized mobile phone/person detection.

Next.js 16 FastAPI OpenCV YOLO / MediaPipe

📊 Computer Vision | Real-time Video Analysis | Automated Integrity

📧 SMS / Email Spam Classifier

ML-Powered Spam Detection Web Application
An interactive machine learning app that classifies communications as spam or ham using a Multinomial Naive Bayes model with TF-IDF vectorization, trained on 5,500+ messages with ~97% accuracy.

Naive Bayes NLP Streamlit

📊 Text Preprocessing | Feature Extraction | Interactive Prediction

📱 Google Play Store Analytics

Exploratory Data Analysis & Market Intelligence
Data analysis of 10,000+ Google Play Store applications using Python, Pandas, Matplotlib, and Seaborn to uncover patterns across app ratings, pricing strategies, and review metrics.

Pandas Matplotlib Seaborn

📊 Data Cleaning | Statistical Distribution | Visual Insights

GitHub Analytics & Activity

GitHub Stats GitHub Streak



Profile Summary and Contribution History

Top Languages

Let's Connect & Collaborate!

Whether you'd like to collaborate on an open-source project, discuss AI/ML innovations, or just have a chat — feel free to reach out!

GitHub LinkedIn Facebook Instagram
Random Dev Quote
Footer Wave

💜 Thanks for exploring my profile! Wishing you a productive day! 💜

"Simplicity is prerequisite for reliability." – Edsger W. Dijkstra

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  1. Email-spam-detection Email-spam-detection Public

    Jupyter Notebook

  2. plant-disease-detection plant-disease-detection Public

    Jupyter Notebook

  3. Google-Play-Store-Dataset-EDA Google-Play-Store-Dataset-EDA Public

    Exploratory Data Analysis of Google Play Store apps using Python, Pandas, Matplotlib, and Seaborn.

    Jupyter Notebook

  4. grievance-management-module grievance-management-module Public

    Software engineering project

    Jupyter Notebook 2 2

  5. VisionProctor VisionProctor Public

    TypeScript 1