RESUME

Name : AJAYKUMAR P

Email Id : ad28yo@r.postjobfree.com

Phone number : 638*******

CAREER OBJECTIVE:

I seek challenging opportunities where I can fully use my skills for the success of the organization. EXPERIENCE:

•Worked as an IT Trainee in CADD CENTRE & LIVE WIRE Perambalur in 1.5-Years. ACADEMIC SUMMARY

Qualification Institution Board/University Year

Percentage /

CGPA

SSLC

Government Higher Secondary

School

STATE BOARD 2015 91%

HSC

Thanthai Hans Roever Hr Sec

School STATE BOARD 2017 84%

BE,.CSE

SRI RAMAKRISHNA

ENGINEERING COLLEGE,

PERAMBALUR

ANNA

UNIVERSITY

2021

7.42

CGPA

TECHNICAL SKILLS

Programming Languages : C, C++,Java, Python, SQL. Web Technologies : HTML, CSS,Java script, MEAN stack Development. Operating Systems : Windows

Others : DOA, TypeWriting,Photoshop.Postman,Bootsrap. TECHNICAL SUMMARY:

• Having a good Knowledge on creating GUI Application in JAVA with My SQL Connection.

• Having a good Knowledge develop an Python Application.

• Having Knowledge to work with SQL Database.

• Having good knowledge on creating or multiple web pages in HTML5.

• Creating modular and responsive templates using CSS3 that are consistent across all browsers and platforms.

• Having a basic knowledge of developing a dynamic and interactive website with JAVASCRIPT.

• Having a Basic Knowledge of Angular Framework and Routing. And Basic known for NodeJS, ExpressJS.

PERSONAL SKILLS

• Communication.

• Collaboration.

• Conflict Resolution.

• Problem Solving.

CERTIFICATION

• Great Learning Certificate of Completion on JAVA.

• Android Application Development.

• IJCT Paper Publication.

AREA OF INTREST:

• Mobile Development.

• Data Science.

• Software Testing.

PROJECT:

Title : Driver Exhaustion Detection Based On Facial Nodal Points Description :

The face, an important part of the body, conveys a lot of information. When a driver is in a state of fatigue, the facial expressions, e.g., the frequency of blinking and yawning, are different from those in the normal state. In this paper, we propose a system called Dicer, which detects the drivers' fatigue status, such as yawning, blinking, and duration of eye closure, using video images, without equipping their bodies with devices. Owing to the shortcomings of previous algorithms, we introduce a new face tracking algorithm to improve the tracking accuracy. Further, we designed a new detection method for facial regions based on 68 key points. Then we use these facial regions to evaluate the drivers' state. By combining the features of the eyes and mouth, Dicer can alert the driver using a fatigue warning. The experimental results showed that Dicer achieved around 92% accuracy.

PERSONAL DETAILS

• Father’s Name : PALANISAMY A

• Permanent Address : 2/139 south street kalpadi (post) Perambalur (TK)(DT). Pin: 621113.

• Date of Birth : 22-05-2000

• Languages Known : Tamil, English

• Marital Status : Unmarried

• Nationality / Religion : Indian/Hindu

DECLARATION

I hereby declare that all the above furnished information is true to the best of my knowledge and if given an opportunity I promise to the best abilities to the Organization. Thank You

Place: Yours Faithfully,

Date: (Ajaykumar P)

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