Driver Project

Pooja Nagare

Mobile: 901*******

E-mail: **************@*****.***

Career Objective

To be a part of an organization that will allow me to enhance my personal and professional growth and to use my knowledge, skills and potential in the best possible way to contribute to the success of the organization. Synopsis

Participated in ICKDST-18 paper presentation competition sponsored by SPPU, Pune IEEE Education

Society & IEEE Computer Society.

Participated in Add on Module on App Development Course.

Participated in LATEX workshop at MITAOE.

Participated in 2 days Professional Development Workshop organized by the Dept. of Humanities

& Development.

Participated in PCB Design Workshop Competition organized in SPECTRUM-2016.

Participated in Mock Placement at ONYX’16.

Participated in Error Coding organized in SPECTRUM-2016.

Participated in Digiminia Digital Electronics Event.

Volunteered for Cheering Team Committee for International ROBOCON 2014

Joined National Service Scheme.

Projects Undertaken

Mini Project:

Project Title: Alcohol Detection using Raspberry Pi 3 Model B Project Objective: Detects amount of alcohol present in driving driver. Project Description: In this system we’ve used alcohol sensor MQ3 for alcohol detection, for controlling we’ve used Raspberry Pi 3 model B & to convert analog value to digital we’ve used ADC. As per increase in the percentage of alcohol, output voltage increases and digital value displayed on screen also goes on increas- ing. This would be constantly monitoring the driver breath. So if driver is drunk and tries to drive, the system detects amount of alcohol present in his breath.

Major Project:

Project Title: Drowsiness Detection using Raspberry Pi 3 Model B Project Objective: Detects the level of drowsiness present in driving driver. Project Description: Fatigue driving is one of the major cause of road accidents in the world. This process helps to decrease the accidents and save the life. In case of drowsiness detection, first the camera module captures the human face image using Haar Cascade Classifier and then detect the eyes and eye blinking rate of driver is calculated if it increases above threshold then it will detect the state of drowsiness and provide a real time warning to driver with the help of an alarm. NoIR(no infrared) camera sensor is used to detect the face. Open CV and Dlib are the modules of python used in this project for detecting face and facial landmarks. Academic Background

Degree Institute University/

Board

Year of Passing Percentage

B.E. MIT Academy of

Engineering, Alandi

Savitribai Phule

Pune University

2018 59.76 (aggregate)

H.S.C. B.M. School, Risod Maharashtra State

Board

2014 64.77

S.S.C. B.M. Kanya School

,Risod

Maharashtra State

Board

2012 77.82

Technical Skills:

Programming in Core and Advance Java, C, C++ language, HTML, CSS, Sql.

Knowledge of Manual Testing.

Internship:

Successfully Completed an Internship in Tata Communications Limited Dighi.

Internship Certificate of Installation Engineer (SDH & DWDM) at BSNL Training Centre, Jabalpur.

Successfully Completed Java Training from Profound Institute. Hobbies:

To learn new technologies.

Listening Music, Travelling, Drawing.

Playing Badminton.

Reading Books.

Personal Details:

Name : Pooja Nagare.

Father’s Name : DilipKumarNagare.

Gender : Female.

Languages Known : English, Hindi, Marathi.

Date of Birth : 22-12-1996

Permanent Address : near Z.P.School, Shegaon Dist Hingoli-431542. Declaration:

I hereby declare that the information given above is true to the best of my knowledge &belief. If any irregularities found I will be solely responsible for that. Date: 22/02/2021

Place: Pune Name: Pooja Nagare.

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