Drupad Patel

I am an aspiring Full Stack Developer with experience building scalable and responsive applications. I have a solid

foundation in Data Structures and Algorithms and regularly practice problem-solving on LeetCode and GeeksforGeeks. I

enjoy working with modern web technologies like React, Node.js, Express, and MongoDB, and I also have exposure to

Machine Learning, Computer Vision, and Generative AI. Having led projects and worked in teams, I’m confident in turning

ideas into real applications. I am eager to learn, grow, and contribute my skills to the tech industry.

1) Your AI Personal Trainer

2022–2025

Python, MediaPipe, Computer Vision,Numpy

Developed real-time fitness application leveraging webcam input to provide users with guided exercises, posture

monitoring, and repetition/set counting, resulting in an average workout adherence increase of 30%.

2) DMovies -Full stack movie trailer streaming website

React.js, React Router, React Hooks, JavaScript (ES6+), CSS3, Vite, TMDb API, YouTube iframe embeds, npm

2022– 2025

Designed an engaging and fully responsive platform where users can explore trending movies and TV shows, watch official

trailers directly from YouTube, and view detailed release information in real-time. Integrated TMDb API to deliver live, high

quality data and optimized state management with React Hooks for smooth navigation. Crafted a clean, modern interface with

custom CSS styling, ensuring both desktop and mobile users enjoy a seamless experience.

3) Weapon and Threat Alerting System

2024–Ongoing

Python, OpenCV, YOLO, CNNs, Roboflow, Machine Learning

Develop a real-time Weapon and Threat Alerting System using Python, OpenCV, YOLO, and CNN-based multimodal

approaches. The system detects weapons like guns and knives, as well as activities such as chain snatching, from CCTV

footage and instantly triggers alerts to authorities. I used Roboflow and other object detection/image recognition tools for

dataset preparation, annotation, and augmentation, which improved model accuracy and robustness. This project

combines deep learning pipelines and computer vision techniques to enhance public safety and reduce manual

monitoring efforts.

4) AI Virtual Assistant

React.js, Node.js, Express.js, MongoDB, JWT Authentication, Cookie-Parser, REST APIs, Axios, Tailwind CSS, Cloudinary,

Google Gemini API, Web Speech API (SpeechRecognition & SpeechSynthesis)

2023-2025

Developed a voice-enabled AI assistant capable of understanding natural language, performing web searches, and handling

real-time commands like Google, YouTube, and weather queries.Integrated speech-to-text and text-to-speech for seamless

voice interaction, with support for custom voices and accents.Integrated REST APIs with Axios for seamless client-server

communication, secured authentication using JWT and cookies, and leveraged Gemini API for intelligent responses.

Implemented speech recognition and text-to-speech for interactive user experiences, ensuring a responsive and scalable

system

B.Tech, Computer Science — P E S University (2022 – 2026)

12th Grade — Jnana Sudha PU College, Udupi (2020 – 2022) | PU Board, 97.7%

10th Grade — Poorna Prajna Education Center, S. Pet (2020) | Karnataka SSLC, 96%