About MeMy Introduction
Hi, I'm Prateek Tanwar. I'm 20 yrs old. When I have some free time, it's
great to indulge in some of my favourite hobbies like reading books, studying Maths & Science and exploring
different kinds of new technologies.
I'm a a Front-end Developer & a Machine Learning Enthusiast. I am interested in working on real world projects which aims to solve real world problems.
SkillsMy Technical Level
DevelopmentAll About the Core
FrameworksEveryone Needs Support
Machine LearningLet's automate the world!
B.Tech in Computer Science and Engineering with Artificial Intelligence and Machine LearningDronacharya College Of Engineering, Gurgaon, India
Higher Secondary in PCM with Computer Science (Python)Blue Bells Public School, Gurgaon, India
SecondaryBlue Bells Public School, Gurgaon, India
Information Technology InternHero MotoCorp Pvt Ltd
Web Development And Designing InternThe Sparks Foundation
Machine Learning InternFeynn Labs
Graphic Designing InternAASMAAN Foundation
Campus AmbassadorTechfest IIT Bombay
Campus AmbassadorEnyugma IIIT Bhagalpur
Drowsiness Detection System
Developed and implemented a real-time driver drowsiness detection system using machine learning techniques to enhance road safety and prevent accidents caused by drowsy driving.
Employed machine learning algorithms, such as Haar Cascade, dlib, OpenCV for Object Detection and Facial Landmark Detection, to extract relevant features from the driver's face and eyes for drowsiness detection and alert him with a beep sound plus capture its image and store it into MySQL database.
WhatsApp Portfolio Website
Designed and developed a web-based chat application with a user interface similar to WhatsApp, providing a platform to showcase a portfolio with all details in interactive demonstrations.
Features:- About, Skills, Resume, Education, Address, Contact, Projects.
CloudChaser Weather App
The app is developed using React.js which fetches and displays up-to-date weather data using the OpenWeatherMap API, providing accurate real-time weather information for various locations around the world.
Shows the weather in Hindi as well as in English.
Real-time Attendence from CCTV
Identifies the human face in real time from a CCTV camera with the help of computer Vision. If CCTV camera frame contains multiple faces,developed model have the capability to recognize all the faces in frame.
The library uses a pre-trained deep neural network model to identify and locate faces in images, and then compares these faces to a database in MySQL of known faces to perform recognition.
AI Virtual Keyboard
Implemented an AI-powered virtual keyboard system that allows users to type on the screen by simply moving their fingers.
Utilized computer vision techniques to track and analyze finger movements and gestures in real- time using a camera input.
Used OpenCV for image processing
My CertificatesBy Programming Hub Scroll or slide here to see next>>>
The Sparks Foundation-InternshipPreview
Data Structures in C++Preview
MINeD National HackathonPreview
Accenture Developer ProgramPreview
Techfest - IIT BombayPreview
Goldman Sachs Software Engineering ProgramPreview
TCS ESG ProgramPreview
All Certificates CollectionLink To Access All My Certificates