Driver Engineer

Monika Pawase

E-Mail ID: ************@*****.***

Phone : +91-895*******

Objective:

To perform to the best of my ability, knowledge and skills in over to add value towards the growth of the organisation and myself as a whole. Academic Qualifications:

Examination Institution Board /

University

Year of

Passing

Percentage

Bachelor of Engineering

(Electronics &

Telecommunication)

Keystone School

of Engineering,

Pune

Savitribai

Phule Pune

University

2019

68

12th Std.

Agasti College,

Akole

Higher Secondary

School Cetificate

(HSC),Pune

2014

62

10th Std.

Kanya Vidya

Mandir,Akole

Secondary School

Certificate (SSC),

Pune

2012

89

Projects :

• Fake Face Detection

In this project, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The experimental results,obtained on publicly available data sets of iris and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.By using image processing on raspberry pi 3b+ model,it detects person is real or there is a photo.

• Drowsy Driver Detection

Driver fatigue resulting from sleep deprivation or sleep disorders is an important factor in the increasing number of accidents on today's roads. The purpose of such model is to advance a system to detect fatigue symbols in drivers and to avoid accidents. We propose a driver drowsiness detection system in which sensor like eye blink sensor with microcontroller 8051 are used for detecting drowsiness of driver. If the driver is found to have sleep, buzzer will start buzzing.

• ESP Eye

ESP-EYE is a development board for image recognition and audio processing, which can be used in various AIoT applications.I completed this project during Embedded System Course.

Training :

• Embedded System Course (completed in 2020)

In this course,I completed Embedded C,Assembly Language and serial communication protocols like UART,i2c,SPI,CAN.

Technical Proficiency:

• Embedded C programming,Python

• Microcontroller 8051,Logic Analyzer

• UART,i2c,SPI

• Software:Virtual box 6.1.0,Logic Analyzer,Docklight Achievements & Extra Curriculars :

• Organised Cultural Events in College.

• Participated in various college events as a contestant. Hobbies:

• Watching Anime

• Martial Art (Kick Boxing)

• Art & Crafts

Personal Details:

Date of Birth : 10th March, 1997

Gender : Female

Address : Sugar Industry Road,Ganesh Vihar Colony,Akile, Dist-Ahmednagar,Maharashtra,422601.

Nationality : Indian

Languages Known : English, Hindi,Marathi

I hereby declare that the information given above is true to the best of my knowledge and belief. Date:

Place: Monika Pawase

Contact this candidate