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Project Objective
- To create AI-enhanced personalized learning experiences, intelligent tutoring systems, and efficient administrative tools to improve educational outcomes and resource management.
- To promote Sustainable Agriculture and Animal Husbandry: Implement AI technologies to facilitate phenotyping, identify contaminants (variants), optimize precision farming, improve pest and disease identification, support sustainable farming practices, and enhance animal health and productivity via AI-assisted animal husbandry.
- To monitor the epidemiological data for the detection of outbreaks and track the spread of bacterial and viral infections.
- To utilize AI to enhance social services, and community support, ensuring accessibility and inclusivity for all members of society.
Issues / Challenges Involved in the Project
1. Inefficiencies and Limited Personalization in Existing Education Systems
Traditional education systems often lack personalized learning pathways, real-time feedback, and intelligent support mechanisms, leading to suboptimal learning outcomes and inefficient use of educational resources.
2. Sustainability and Productivity Challenges in Agriculture and Animal Husbandry
Conventional farming and livestock management practices face challenges such as low productivity, pest and disease losses, inefficient resource utilization, and limited adoption of data-driven decision-making, impacting sustainability and food security.
3. Delayed Detection and Monitoring of Disease Outbreaks
Current epidemiological surveillance systems often rely on fragmented, delayed, or manual data analysis, limiting timely detection of bacterial and viral outbreaks and hindering effective public health response.
4. Gaps in Accessibility and Effectiveness of Social and Community Services
Social services and community support systems struggle with limited reach, lack of inclusivity, inefficient service delivery, and insufficient data-driven insights to address diverse societal needs effectively.
Team Lead
- Dr. Praveen Kumar Loharkar,Head-AIML Department , MPSTME, Shirpur
Praveen.kumar@nmims.edu
Team Members
- Dr. Preeti Sangave, Associate Professor, School of Pharmacy & Technology Management (SPTM), Shirpur.
mahesh.chaudhari@nmims.edu
- Dr. Varun Shende, Assistant Professor, SVKMs School of Agriculture, Tardi, Shirpur.
Varun.Shende@nmims.edu
- Dr. Sinoy Sugunan, Assistant Professor, School of Pharmacy & Technology Management (SPTM), NMIMS Shirpur.
sinoy.sugunan@nmims.edu
