| Affiliations: | STEM Research Leadership |
| Project Leader: | Adeolu Joseph Adekunle
adeolu.adekunle@tamu.edu Animal Science |
| Faculty Mentor: | Karun Kaniyamattam, Ph.D |
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Meeting Times:
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TBA |
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Team Size:
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7 |
| Open Spots: | 0 |
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Special Opportunities:
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Students will gain exposure to cutting-edge technological tools and methodologies used in animal systems research. Opportunity to contribute to real-life solutions and learn research methods, get publications, and collaborate with industry experts. Networking and Mentorship opportunity which will open doors to future collaborations, internships, and job opportunities.
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Team Needs:
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Open to undergrads and grad students in Animal Science, Veterinary Science, Data Science, Engineering, Information Systems, etc. Ideal mentees must be motivated with an interest in artificial intelligence, data science, modeling, and coding with Python. |
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Description:
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The project focuses on designing and developing Artificial Intelligence and Machine Learning models to aid the prediction, visualization and management of various diseases of animals in a pre-developed Web Application. The goal is to create models (LLM, Analytics and other predictive models) to enhance functionality and interface of a Disease Management Web Application. This research will leverage advanced statistical methods, deep learning, machine learning, and proprietary data to enhance the application’s usability and interactive capacity. |