Bansilal Ramnath Agarwal Charitable Trust's

Vishwakarma Institute of Technology,Pune

Faculty Profile
Home | PROF. (SMT.) PALOMI SANDEEP GAWLI

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PROF. (SMT.) PALOMI SANDEEP GAWLI

Designation:

Assistant Professor

Department:

Artificial intelligence and Data science

Email :

palomi.gawli@vit.edu

Phone :

9326881991

 



Personal

Educational Qualification :

University Degree Year
Savitribai Phule Pune University ME 2019
Rashtrasant Tukadoji Maharaj Nagpur University BE 2013


Date of Joining : 15/12/2022


Total Experience : 8 year:9 month

Experience :

Sr. No Organisation Designation From Date To Date Years of Experience
1 Girme Collage Asstt.Prof. 19-Jun-2018 31-May-2019 0
2 SAE Kondhwa Asstt.Prof. 28-Feb-2020 - 5
3 Vishwakarma Institute of Technology Assistant Professor 16-Dec-2022 - 2

Professional Contribution :

  1. class teacher Of ET_A division

  2. class teacher Of IT_A division

  3. class teacher Of AIDS_B division

  4. Departmental Reasponsibility_SY_Common

  5. Departmental Reasponsibility_AIDS

  6. NBA Criteria Incharge


Invited Talks :

Sr. No Name Description Type Role From Date To Date
1 UGC_Sponsored NEP Orientation & Sensitilization Programme FDP Participated 21-Apr-2025 30-May-2025
2 Next Gen AI Skills FDP co-convenor 24-Mar-2025 28-Mar-2025
3 Next Gen AI Skills:A Practical Approach for Educators Department of Artificial Intelligence & Data Science, Vishwakarma Institute of Technology, Pune FDP co-convenor 24-Mar-2025 28-May-2025
4 "Academia-Idustry Synergy:Leveraging Expertise for Mutual Growth” Department of Artificial Intelligence & Data Science FDP Participated 20-Jan-2025 24-Jan-2025
5 icial Intelligence and Generative Models" O FDP Participated 02-Dec-2024 06-Dec-2024
6 IBM Introduction to Machine Learning Course Certificates Completed Exploratory Data Analysis for Machine Learning Supervised Machine Learning: Regression Supervised Machine Learning: Classification Unsupervised Machine Learning Industry Training Participated 01-Oct-2024 16-Dec-2024
7 Machine learning Bootcamp FDP Participated 01-Jul-2024 05-Jul-2024
8 Empowering Educators:Advancement in computer pedogogy Advancement in computer pedogogy FDP co-convenor 12-Feb-2024 17-Feb-2024
9 Artificial Intelligence and Generative Models" Artificial Intelligence and Generative Models" FDP Participated 15-Jan-2024 19-Jan-2024
10 AI Evolution AI evolution from foundation to Generative AI FDP Participated 09-Jan-2024 13-Jan-2024

International Journal:

  1. PREDICTION OF LUNG CANCER ,YMER,123
  2. Developing a Smart Irrigation System Using NodeMCU ,European Chemical Buletin,123
  3. DocGenie: A Retrieval-Augmented Generation Chatbot for Interactive PDF Exploration ,ICEARS 2025,125
  4. Gesture and Voice Controlled Wheelchair ,ICSADL 2025,125
  5. Smart Errigation System ,International Journal of Internet of Things and Web Services,124
  6. Visualizing Covid-19 ,bulletin for technology and history journal,123
  7. Security system using PIR sensor , International Journal of Innovative Research in Technology,123
  8. Developing a Smart Irrigation System Using Node MCU ,IJSREM,123
  9. Mall Customer SEgmentation ,INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT,123
  10. F1 Car Monitoring and Tracking System ,Mukt Shabd Journal,125
  11. Advanced Seatbelt Detection System Integrated with Sensor Technology and Machine Learning ,Mukt Shabd Journal,125
  12. APAH: An autonomous IoT driven real-time monitoring system for Industrial wastewater ,Digital Chemical Engineering,125

International Conference:

  1. Smart IOT Based dustbin and west monitoring system ,Manav Rachna International Institute of Research and Studies ICAICCIT,123
  2. IOT Based AIr Quality Monitoring system ,Manav Rachna International institute of Research and Studies ICAICCIT,123


Research Grant / Funded Projects :

  1. Industry Readiness Platform for Studens
  2. An autonomous IoT driven real-time monitoring system for Industrial wastewater
  3. Hybrid Database system
  4. Web site developement Project

Patents :

  1. ANALYZING THE IMPACT OF LEARNING STYLES ON ESL/EFL COMMUNICATION STRATEGIES THROUGH MACHINE LEARNING
  2. AI-DRIVEN AUTOMATED EMPLOYEE PERFORMANCE PREDICTION SYSTEMS FOR ENHANCED HR MANAGEMENT TO IMPROVE ORGANIZATIONAL GROWTH
  3. MACHINE LEARNING AND GRAPH THEORY FOR ATTACK DETECTION AND ROUTE OPTIMIZATION IN RF NETWORKS



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