Hi👋🏻 I'm Prateek!

and I'm

B.Tech @Dronacharya College Of Engineering, Gurugram

Paddling through the ocean that is Machine Learning.

Contact Me

About Me

My 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.

6 Internship
Experience
5+ Completed
Projects
1 Ongoing
Research

Skills

My Technical Level

Development

All About the Core

C++

85%

Python

75%

Java

75%

HTML

80%

CSS

80%

JavaScript

75%

Frameworks

Everyone Needs Support

React.js

75%

NumPy

80%

pandas

90%

matplotlib

70%

scikit-learn

70%

OpenCV

60%

seaborn

70%

Machine Learning

Let's automate the world!

Supervised Learning

75%

UnSupervised Learning

60%

Backend

Wow factor!

MySQL

70%

Python

65%

Qualification

My Journey
Education
Work

B.Tech in Computer Science and Engineering with Artificial Intelligence and Machine Learning

Dronacharya College Of Engineering, Gurgaon, India
2020-2024

Higher Secondary in PCM with Computer Science (Python)

Blue Bells Public School, Gurgaon, India
2019-2020

Secondary

Blue Bells Public School, Gurgaon, India
2017-2018

Information Technology Intern

Hero MotoCorp Pvt Ltd
July 2023 - August 2023
What I did here
  • Worked on IT project planning and execution, collaborating with team members to achieve project goals and timelines.

  • Worked closely with the senior team members of Data Scientists and Engineers on the development of the "Smart Eye" project, leveraging machine learning techniques for vision- based & object detection applications.

Web Development And Designing Intern

The Sparks Foundation
May 2023 - June 2023
What I did here
  • Assisted in the design and development of responsive and visually appealing websites using HTML, CSS, and JavaScript, ensuring a seamless user experience across different devices.

  • Tech Stack Used:- HTML5, CSS, JavaScript

Machine Learning Intern

Feynn Labs
February 2023 - April 2023
What I did here
  • Performed AI product/service prototyping for small businesses, leveraging machine learning algorithms to enhance operational efficiency and customer experience.

  • Conducted market research and data analysis to identify trends and patterns, enabling large- scale predictive market segmentation and Financial Modelling using machine learning techniques.

Graphic Designing Intern

AASMAAN Foundation
February 2023 - May 2023
What I did here
  • Collaborated with the design team to create visually compelling graphics, illustrations, and layouts for various marketing materials, including brochures, flyers, social media posts, and website banners.

  • Assisted in conceptualizing and developing creative design concepts, aligning with the identity and objectives of the organization.

Campus Ambassador

Techfest IIT Bombay
September 2021 - January 2022
What I did here
  • Orchestrated and executed engaging workshops and webinars targeted at campus students, resulting in a significant boost in awareness for one of Asia's largest technical festivals, Techfest IITB.

  • Leveraged adept communication skills to effectively communicate the details of diverse online and offline competitions held during Techfest IITB, driving increased participation and engagement from the student community.

  • Played a pivotal role in planning and organizing workshops and webinars, showcasing a keen eye for detail and exceptional organizational abilities.

Campus Ambassador

Enyugma IIIT Bhagalpur
October 2021 - November 2021
What I did here
  • Conceptualized, planned, and executed dynamic workshops and interactive webinars that captivated the campus student body, significantly amplifying awareness for Enyugma, the prestigious technical fest at IIITBH.

  • Spearheaded the organization and coordination of workshops and webinars, showcasing meticulous attention to detail and impeccable organizational prowess.

  • Demonstrated adept utilization of social media marketing techniques, strategically harnessing various platforms for online promotion, thereby augmenting event visibility and engagement, contributing to the resounding success of Enyugma IIITBH.

Portfolio

My Projects

Drowsiness Detection System

Computer Vision

  • 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.

  • Tech Stack

    View Code

    WhatsApp Portfolio Website

    Web Development

  • 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.

  • Tech Stack

    Visit Website View Code

    CloudChaser Weather App

    Web Development

  • 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.

  • Tech Stack

    Visit Website View Code

    Real-time Attendence from CCTV

    Computer Vision

  • 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.

  • Tech Stack

    View Code

    AI Virtual Keyboard

    Computer Vision

  • 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

  • Tech Stack

    View Code

    My Certificates

    By Programming Hub Scroll or slide here to see next>>>

    The Sparks Foundation-Internship

    Preview

    Data Structures in C++

    Preview

    MINeD National Hackathon

    Preview

    Accenture Developer Program

    Preview

    Techfest - IIT Bombay

    Preview

    Goldman Sachs Software Engineering Program

    Preview

    TCS ESG Program

    Preview

    IEEE International Conference

    Preview

    IEEE International Conference

    Preview

    All Certificates Collection

    Link To Access All My Certificates

    Contact Me

    Get in Touch

    Call Me

    +91-9810460365

    Location

    Haryana, India