Faculty Profile
Home | SAYALI PRAKASH SHINDE

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SAYALI PRAKASH SHINDE

Designation:

Assistant Professor

Department:

Computer Science and Engineering (Data Science)

Email :

sayali.shinde@vit.edu

Phone :

8888498296

Educational Qualification :

University Degree Year
Other Phd 2023
Savitribai Phule Pune University ME 2016
Shivaji University BE 2013


Date of Joining : 05/01/2025


Total Experience : 8 year:4 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 COEP Technological University Junior research Fellow - - 0
2 AGTIs Dr Daulatrao Aher College of Engineering Karad Assistant Professor 11-Jul-2016 25-May-2024 7

Professional Contribution :

  1. Class teacher of CSBI-A division for first year


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 NextGen AI Skills:A Practical Approach for Educators FDP Participated 24-Mar-2025 28-Mar-2025
2 DESH Students’ Conference on Advances in Science and Technology DSECAST- 2025 Other organizing member 01-Mar-2025 02-Mar-2025
3 “Enhancing Engineering Skills Using Softwares FDP Participated 08-Feb-2025 12-Feb-2025
4 Data Analytics with Python NPTEL course of 12 weeks organized by IIT Roorkee MOOC Participated 01-Feb-2025 30-Apr-2025
5 Academia-Idustry Synergy:Leveraging Expertise for Mutual Growth FDP Participated 20-Jan-2025 24-Jan-2025

International Journal:

  1. An Indian UAV and leaf image dataset for integrated crop health assessment of soybean crop ,null,125
  2. An Indian Annotated Weed Dataset for Computer Vision Tasks in Precision Farming ,null,125
  3. Optimizing Brand-Influencer Partnerships: A Review on Data-Driven Approach to Enhancing Collaboration and Campaign Performance ,e 6th Doctoral Symposium on Computational Intelligence,125

International Conference:

  1. AI and NLP-Driven Insights for Effective Brand-Influencer Partnership Strategies ,International conference on innovative computing and communication,125


Copyrights :

  1. A Data Centric Ai Approach for Digital Farming
  2. AI AND ML BASED SYSTEM AND METHOD FOR ENHANCING CUSTOMER SATISFACTION IN THE TOURISM INDUSTRY.

Patents :

  1. A DATA-CENTRIC SYSTEM FOR AGRICULTURAL CROP ANALYSIS USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  2. AGRI -WEEDVISION: AI INTEGRATED WEB APP FOR PRECISE WEED MANAGEMENT
  3. Cropwhiz  : A Green diagnostic wizard for Farmers
  4. A Homomorphic Blockchain- based Recurrent Neural Data Encryption System for Securing Metadata Governance



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