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PUNE INSTITUTE OF COMPUTER TECHNOLOGY
(An Autonomous Institute affiliated to Savitribai Phule Pune University)
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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
AFFILIATED TO SPPU | AICTE APPROVED | ISO 9001:2015
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Computational linguistics lab.

Computational linguistics lab is located at PG Lab (A2-302) at Computer engineering department, PICT. Aim of this lab is to carry out research activities and product development by identifying state of the art application in Computational linguistics area. The domains/areas covered in this lab are Image Processing, Computer vision, Information retrieval, Natural Language Processing, Human Computer Interface

Outcome of computational research lab is to generate

  • IPR
  • UG/PG/PhD research work
  • Quality research publications
  • Internships: (PICT students/outside PICT students)
  • Consultancy
  • Product development
  • Book chapters/Book publication

    • Activities

    The activities at Computational linguistics lab are planned in two domains

    1. Natural language processing, Information retrieval: Getting computers to solve language-related tasks.
      This includes voice recognition, machine translation, chat bots, automatic text generation and summarization, web search, ad placement, stylistic analysis, and much more.
    2. Image processing, Computer vision: Gesture recognition, sign language translation, Image segmentation, Object detection and recognition,

    Objectives of Computational linguistics labs are as follows:

  • To motivate faculty and students for product development.
  • To be recognized as an industry sponsored lab.
  • To provide internship and sponsorship for B.E./M.E. Project.
  • To procure funds from various funding agencies by submitting research proposal.
  • To conduct industry projects and consultancy

    • To conduct training/certificate program.

    Lab head

    Dr. Archana Ghotkar -: aaghotkar@pict.edu

    Dr. Sheetal Sonawane -: sssonawane@pict.edu

    Core faculty

    Smiley faceDr.Archana Santosh Ghotkar
    Associate Professor, Department of Computer Engineering
    Email Id : aaghotkar@pict.edu
    Contact No : 9422357775
    Research Domain: Computer Vision, Pattern Recognition, Image Processing, Computer Graphics, Natural Language Processing, Human Computer Interaction, Data Analytics
    Smiley faceDr. Sheetal Sonawane
    Department of Computer Engineering,
    Natural language processing, Information retrieval, Graph theory, Data Mining.
    sssonawane@pict.edu
    Smiley faceMr. Kaustubh Sakhare
    Department of Electronics and Telecommunications
    Computer Vision, Pattern Classification.
    kvsakhare@pict.edu
    Smiley faceMrs. Rutuja Kulkarni
    Department of Computer Engineering,
    Machine Learning, Computer Graphics, Natural language processing.
    rutujakulkarni@pict.edu
    Smiley facePujashree Satish Vidap
    Assistant Professor, Department of Computer Engineering.
    Email id: psvidap@pict.edu
    Research Domain: Data Structures and algorithms, Language Processing, Data Analytics, Computer vision
    Smiley faceRanjeet V. Bidwe
    Assistant Professor, Department of Computer Engineering
    Email Id : rvbidwe@pict.edu
    Research Domain: Deep Learning, Computer Organization and Architecture
    Smiley faceBhushan D. Zope
    Assistant Professor, Department of Computer Engineering
    Email Id : bdzope@pict.edu
    Research Domain: Machine Learning, Data Science, Data structure and Algorithms.
    Smiley faceUrmila S. Pawar
    Assistant Professor, Department of Computer Engineering
    Email Id : uspawar@pict.edu>
    Research Domain: Data Structures and Algorithms Computer Graphics, Human Computer Interface.

    Students

    1. Ruchita Nerkar (ME)
    2. Kanchan Nachnani (ME)
    3. Udit Barde (ME)
    4. Gautam Nahar
    5. Anish Dhage
    6. Mayuresh Pingle
    7. Apoorv Kakde
    8. Srushti Sardeshmukh
    9. Aditya Mandke
    10. Aboli Marathe
    11. Shriniwas Nayak(alumni)
    12. Hrishabh Hirudkar(alumni)
    13. Anuj Kanetkar(alumni)
    14. Vishal Kharde (alumni)
    15. Shridhar Pathak (Alumni)
    16. Vaishali Sarvadnya (alumni)
    17. Ashish Shingade (alumni)
    18. Pooja Charve (Alumni)

    Completed projects:

    1. Extractive Summarization using Semigraph: An innovative application of semigraph in the area of computational linguistics Team: Dr. Sheetal Sonawane
    1. Marathi Language Summarization: Extractive Summarization of Marathi language is generated Team: Vaishali Sarvadnya, Dr. Sheetal Sonawane
    1. Sponsor Agency: Department of Science and Technology, New Delhi.Title: “Real time vision based hand gesture recognition for HCI” Amount: Rs. 4,80,000/ Team: Dr. Archana Ghotkar
    1. Title: “Vision based Multi-feature Hand gesture Recognition for HCI using Indian Sign Language” Team:Dr. Archana Ghotkar
    1. Title: Optical Character Recognition for Devnagari Script Team: Dr. Archana Ghotkar
    1. Title: Markerless Motion Capture for 3D Human Character Animation Applied to Sports Team: Ashish Shingade, Dr. Archana Ghotkar
    1. Title: Real Time Scene Text Extraction using Stroke Width Transform for Tourists Translator on Android platform Team: Pooja Charve, Dr. Archana Ghotkar
    1. Title: Optical Character Recognition for Devnagari Script Team: Dr. Archana Ghotkar

    On-going Project:

    1. Title: Forecast solar energy production and recommend energy allocation for electronic devices Team: Dr.Sheetal Sonawane, Dr. Archana Ghotkar, Gautam Nahar, Anish Dhage, Mayeresh Pingale, Apoorv Kakde Area/Domain: Data Analytics, IOT, Deep Learning Status: Patent Published
    1. Title: Novel approach for suggesting similar questions for any text data Team: Dr. Archana Ghotkar, Dr. Sheetal Sonawane, Shriniwas Nayak, Hrushabh ,Anuj Kanetkar Area/Domain: Natural language processing, Information retrieval Status: Patent Published
    1. Title: Multilingual sign language interpretation Team: Dr. Archana Ghotkar, Dr. Sheetal Sonawane, ,Pujashree Vidap, Uday Barde Area/Domain: Image processing, Computer vision, HCI Status: Patent Published
    1. Title: Automatic Ticket Classification for IT Service Management Team: Kaustubh Sakhare Area/Domain: Natural Language processing, text analytics Status: Open Source Challenge PoC Completed
    1. Title: Automated tool to learn ISL and provide detailed feedback for improvement of correct gesture (includes hand shape, motion, location and timing) Team: Pujashree Vidap Area/Domain: Sign language interpretation, Artificial Intelligence Status: Open Source Challenge PoC in Process
    1. Title: Automated tool to learn ISL and provide detailed feedback for improvement of correct gesture (includes hand shape, motion, location and timing) Team: Pujashree Vidap, Dr. Archana Ghotkar, Dr. Sheetal Sonawane Area/Domain: Sign language interpretation, Artificial Intelligence Status: Open Source Challenge PoC in Process
    1. Title: 1. Depression detection using natural language processing
    2. Evaluating subjective answers using natural language processing Team: Rutuja Kulkarni Area/Domain: Natural Language processing Status: In process
    3. Title: Synthesizing images using Generative Adversarial Networks Team: Ranjeet Bidwe Area/Domain: Machine learning, Image Processing Status: Open Source Challenge PoC in Process
    4. Title: Author Style Transfer in Marathi Language Team: Bhushan Zope Area/Domain: Natural Language processing Status: In process
    5. Title: Covid 19 tweet Analysis Team: Dr. Sheetal Sonawane, Vishal Kharde (alumni), Shrushti Sardeshmukh, Aditya Mandke, Aboli Marathe, Shriniwas Nayak Area/Domain: Machine learning, Image Processing Status: Data analysis part is done. We are working on Network analysis and sentiment analysis.

    Patent TitleApplication no. With datePublished

    on date

    		Granted

    on date

    SYSTEM AND METHOD TO FORECAST SOLAR ENERGY PRODUCTION AND RECOMMEND ENERGY

    ALLOCATION FOR ELECTRONIC DEVICES

    		202021023513 on 4/6/20203/7/2020In Examination
    A SYSTEM FOR RECOMMENDING A RELEVANT QUERY USING A STATISTICAL METHOD202021023694

    On 5/6/2020

    		3/7/2020In Examination
    A SYSTEM AND METHOD FOR ENABLING GESTURE BASED COMMUNICATION FOR DIFFERENTLY ABLED INDIVIDUALS

     

    		202021025627 on 18/6/202017/7/2020In Examination

    Hardware:

    Sr. NoDetailsQuantity
    1.Dell Optiplex 9020 MT Desktop Intel Core i7 3.4 GHz processor , 8GB DDR3 RAM, 1 TB HDD ,Intel HD Integrated Graphics Card, 18.5″ moitor Dell LED TFT, Dell keyboard and optical mouse15
    2.Lenovo Desktop Intel Core i5 ,NVIDIA 1GB graphics card, 8GB DDR3 RAM, 1 TB HDD, DVD RW, 18.5″ moitor LCD TFT, keyboard and optical mouse08
    3.Desktop Intel Core i5 3470 processor ,3.2 GHz, 4GB DDR3 RAM, 500 GB HDD , 18.5″ moitor Dell LED TFT, Dell keyboard and optical mouse04
    4.Dell Optiplex 3010 MT Desktop Intel Core i3 ,Intel ,H61 MBD, 4GB DDR3 RAM, 500 GB HDD , 18.5″ moitor Dell LED TFT, Dell keyboard and optical mouse03

    Software :

    1. Natural Language Toolkit (NLTK)
    2. OpenCV
    3. SpaCy
    4. TensorFlow:
    5. TextBlob
    6. PyTorch-NLP
    7. SimpleCV
    8. Python’s libraries such as IPython, NumPy, Pandas, Matplotlib, Scikit-Learn,

    Seek internship opportunities for ongoing projects; drop your cv at contact with your domain and interest

    Contacts: aaghotkar@pict.edu , sssonawane@pict.edu

     

    Last updated: July 15, 2021 at 11:00 am