Roopreet Saluja

Undergrad ECE Student at VIT Vellore, my work and interest involves in Statistics, IoT, Programming and Model developing. Currently working on developing India's first Formula Student Autonomous Vehicle.

Pursing Diploma in Data Science from Indian Institute of Technology , Madras.

Proficiency in Python,C++, Java, Data Structures and Machine Learning.

• Gold Medal , International Program for Young People - 18 months challenge with 12,000+ participants across 130 countries for Personal Development and Challenge with a Gold Residential Project. Tested an individual in 4 key areas : Voluntary Service , Skill , Sport and Adventurous Journey.
• Top 4, Formula Bharat Software Integration Report - Concept Challenge (Pi-EV 2022 Formula Bharat) to design a Formula Student Electric Vehicle Powertrain Package which meets the Formula Bharat 2023 Rules. Optimized the Object Identification Algorithm(YOLOv4) along with the conceptualization of an in-house Data Acquisition System for the Vehicle. Lead the report with a Top 4 finish (20+ participants) in Software Architecture Category improvising on previous best of 11th(Team Ojas Racing).
• Gold Medal , ISC - Awarded Gold Medal from Honorable Defense Minister of India, Mr. Rajnath Singh for exceptional performance in ISC Examination (97% overall with 100% in Mathematics)
• Top 4, Static Events FSAE Italy- Formula SAE is a student design competition which involves the departments of engineering of the Universities worldwide organized by SAE International (previously known as the Society of Automotive Engineers, SAE). It involves: Design Event: presentation of the complete project of the car. Business Event: simulation of the presentation of their project by each team in front of potential investors. Cost Event: analysis of the cost report drafted by each team where are included quantities of materials and components used.

Work included preparation for the Design Event for Safety Systems in the Vehicle

• CONE DETECTION FOR DRIVERLESS FS VEHICLE USING CNN

Initially started with scratching images from multiple sources including youtube videos, to create a collective set of 370 images, which were annotated using CVAT(Computer Vision Annotation Tool) online tool by Intel. The annotated set was then used to in the google collab notebook to produce astonishing results. With accuracy of 92%. We were able to achieve a frame rate of 27 frames per second.

Project - https://drive.google.com/file/d/1F2Qbgkm-ql2DBWK8396WAinzCIOv4gXD/view?usp=sharing

• DESIGNING A DRIVER INTERFACE FOR FORMULA STUDENT VEHICLE

A display for the driver interface is designed such that Vehicle Speed, Average Temperature of Thermally Critical Cells and SOC of TS Accumulator are displayed and updated after every 1 second onscreen. The assembly consists of an TFT display, Arduino Mega 2560 (ATmega 2560-
microcontroller) and logged on a 100 X 160 mm PCB. Software Used : C programming | Communication Protocol: CAN Bus

Project - https://drive.google.com/file/d/19aKaNblcArIUdwIXNNxq2b9rjoihOzeD/view?usp=sharing

• IDENTIFICATION OF FRUITS USING COLOR ANALYSIS

The objective was to identify and portray, as a unique gray level (or color), the features occurring in an image in terms of the object or type of land cover these features actually represent on the ground.