Data Science and Machine Learning Applications

Project Overview

This project explores the application of artificial intelligence through machine learning and deep learning approaches to address societal challenges. We work on IoT applications, predictive analytics, and data-driven decision-making systems across various domains including healthcare, agriculture, and environmental monitoring.

Project Objectives

• Develop ML models for predictive analytics
• Implement IoT solutions for data collection
• Create deep learning architectures for complex problems
• Build data science platforms for various applications

Technologies & Tools

Project Details

• Team Lead:
  Prof. Charles Oluwaseun Adetunji
• Start Date:
  March 10, 2022
• Funding:
  Internal Research Grant
• Project ID:
  PRJ-002