Miss. Darshita Pathak

Faculty Details

Miss. Darshita Pathak
  • Designation : Lecturer
  • Qualification : ME Computer Engineering
  • Experience : 3 Years
  • Area Of Interest : Information Retrieval ,Data Mining , Web Development , Java Programming,Computer Algorithms

Education Qualification

  • Master of Computer Engineering (M.E.) from V.V.P.Engineering College , Rajkot, affiliated with Gujarat Technological University (GTU), Gujarat, India, with CPI 9.61 (equivalent to 96.1 %) - GTU Gold Medalist.
  • Bachelor of Computer Engineering (B.E.) from V.V.P.Engineering College , Rajkot, affiliated with Gujarat Technological University (GTU), Gujarat, India, with CPI 9.38 (equivalent to 93.8 %)

Special Achievement

Awarded As Gold Medal In Master Of Engineering Computer Engineering Branch By GTU In Year 2015

Work Experience

  • Currently working as an Lecturer at A.V.Parekh Technical Institute - Rajkot since 28th October 2016.

  • Worked as Ad hoc  Lectuer from 18 - May - 2015 to 27 - October - 2016 at V.V.P.Engineering College, Rajkot, Gujarat, India.

Publication

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1)Medical Content Based Image Retrieval using Texture and Shape Feature        IEEE – WISPNET - 2016

2)Visual Exploration Based Comparative Analysis of Tag Cloud Layout      CiiT Networking & Communication Engineering

3)MSQUEEZER: WEB CRAWLER BASED ON LYRICS & TRACK           - IJAERD

4)ANALYSIS OF MUSIC BASED ON MULTIMODAL STRUCTURE SEGMENTATION OF AUDIO & LYRICS INFORMATION                JETIR

5)Social Bookmarking Systems For Personalized Social Query Expansion -              IJCARSSE

6)Query by Image Content Using Color Histogram Techniques -IJERT

7)Predicting Fate Stem Cells With Software         -IJEDR

8)Predicting Fate Stem Cells With Software-International Conference at V.V.P.Engineering College

9)Data Filter Crawler Based On Image Segmentation Technique Using EXIF Meta Image Tags In CiiT International Journal

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Skills & Knowledge

Knowledge proficiency of computer engineering courses and relevant programming languages of recent trends including Python,PHP,Java,Advance Java,C,C++.


Training/STTP/Workshop/Seminar

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1) NITTTR Bhopal Induction Phase 1 

2) NITTTR Ahmedabad Induction Phase 2

3) VC Training Recent Trends in Computer & Information Technology

4)STTP On CHK-‘N’-MAT – Computer Engineering Department-V.V.P.Engineering College - 2015

5)STTP On Developing & Managing IT Infrastructure for Large Organizations Computer Engineering Department-V.V.P.Engineering College - 2014

6)STTP On “Recent Trends In Data Mining & Image Processing”– I.T. Department V.V.P.Engineering College - 2013

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Courses Taught

1- Computer Programming

2-Advance Computer Programming
3- Java Programming
4- Advance Java Programming
5- .NET Programming
6- Computer Organization & Architecture
7- Fundamental Of Computer Application
8- Software Webpage Development
9- Programming With C++

Academic Achievement

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  • In Year 2010,Paper Presentation-“Search Engine” at ELIXIR, V.V.P.Engineering College    3rd Rank
  • In Year 2011,Project Presentation – “Chat In C” at Technoplanet, R.K. University                1st Rank
  • In Year 2011,Visual Paper Presentation “Predicting Fate Stem Cells With Software” at International Conference in V.V.P.Engineering College           1st Rank
  • In Year 2012,Paper Presentation – “iCloud” at ICA Edufest            1st Rank
  • In Year 2012,Devang Mehta IT Awards By NASSCOM- TOP Ranker of the year     2nd  Rank
  • In Year 2013,Project Presentation- GPS Car Tracking -ISTE National Convention 2013        1st Rank
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    Portfolios

    1) Class Mentor Of Concerned Semester

    2)College Website Committe Member
    3)Subject Incharge of relevant semester
    4)Project Guide For Final Year Students

    Research Project

    MSQUEEZER: WEB CRAWLER BASED ON LYRICS & TRACK
    EXTRACTION FROM HINDI SONGS

    Web Crawler works on keyword based searching, same way searching of song is based on Title of song only. With Music Information Retrieval MSqueezer will extract out Lyrics from Mp3 Song Of Hindi Songs. The technique to crawl lyrics will be based on mainly the natural language processing where lyrics from the song will be extracted by speech to text conversion method with adaption various techniques to smooth the pitch and voice tone of different singer so the retrieval of lyrics from the song will be easier and efficient.
    Each song falls within one category that define as Genre Of music. By listening song we can categorize that song falls within which genre ex Pop or Jazz. But At time of crawling it again based on search based for song that generally contains word of genre of webpage, but not categorize song by its spectral information. The technique of classification of harmonic wave for Genre is combination of support vector machine where regression analysis with variable stored already on pitch level repository is to be matched & of information retrieval to crawl to match that pitch and the result will be retrieved. These both research will helpful in area of music information retrieval research as well as at commercial level too.

    Professional Institution Memberships

    1) ISTE LifeTime Membership

    2) AVPTI Alumni Association Lifetime Membership
    3) VVP Engineering College Alumni Lifetime Membership
    4) Kotak Alumni Student Foundation Lifetime Membership

    Expert Lecture

    On World Telecommunication & Information Society Day 17th May 2018 organized by IEI at AVPTI delivered  expert talk on "Positive Use Of Artificial Intelligence"