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Home | MS. SAYALI PRAKASH SHINDE

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MS. 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 Research Associate - - 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

  2. Class Teacher of FY ET-E division

  3. Project Coordinator for Sem-I and Sem-II

  4. Internship Coordinator for Sem-I and Sem-II

  5. Lab Incharge

  6. Time Table Team

  7. Course Owner of Design Thinking, Object Oriented Programming,EDI-II

  8. Course Owner of System Programming and Operating System,EDI-II

  9. BOS Member

  10. Faculty mentor for Open Source Contribution and Github Club


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 Recent Trends in Computation FDP Participated 15-Sep-2025 19-Sep-2025
2 AI in Action: Transforming Healthcare and Education FDP Participated 08-Sep-2025 13-Sep-2025
3 .NET Full Stack Under Digital Rediness skill by Wipro Industry Training Attended Industry lecture 21-Jul-2025 08-Aug-2025
4 NextGen AI Skills:A Practical Approach for Educators FDP Participated 24-Mar-2025 28-Mar-2025
5 DESH Students’ Conference on Advances in Science and Technology DSECAST- 2025 Other organizing member 01-Mar-2025 02-Mar-2025
6 “Enhancing Engineering Skills Using Softwares FDP Participated 08-Feb-2025 12-Feb-2025
7 Data Analytics with Python NPTEL course of 12 weeks organized by IIT Roorkee MOOC Participated 01-Feb-2025 30-Apr-2025
8 Academia-Idustry Synergy:Leveraging Expertise for Mutual Growth FDP Participated 20-Jan-2025 24-Jan-2025

International Conference:

  1. AI- and NLP-Driven Insights for Effective Brand-Influencer Partnership Strategies ,Innovative Computing and Communications,125
  2. Optimizing Brand-Influencer Partnerships A Review on Data-Driven Approach to Enhancing Collaboration and Campaign Performance ,6th Doctoral Symposium on Computational Intelligence,125
  3. Real-Time Weed Detection Using YOLOv9c Integrated Mobile App ,Sixth Doctoral Symposium on Computational Intelligence. DoSCI 2025,125

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


Research Grant / Funded Projects :

  1. Agribhandu
  2. Agribhandu: A Smart Farmer Assistant
  3. Agentic AI-Based Health Report Summarizer and Advisory System
  4. Soybean Pulse Beetle Damage Estimation (Callosobruchus chinensis)

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
  5. AGRI-PENOTYPER: AN INTEGRATED LIGHTWEGHT AI SYSTEM FOR FIELD CROP PHENOTYPING WITH TIME-SERIES TRACKING, ACTIVE LEARNING, AND GENOMICS READY DATA EXPORT
  6. HERITAGE ODYSSEY: A SYSTEM FOR IMMERSIVE 3-D RECONSTRUCTION OF HERITAGE SITES ON THE WEB



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