Research Projects
Discover our comprehensive portfolio of research projects spanning AI for agriculture, healthcare innovation, and responsible AI development.
Deep Learning for Fine-Grained Quality Grading of Zanzibar Cloves
Advanced computer vision and deep learning techniques for precision crop management and quality assessment of Zanzibar's premium clove production.
Placental Weight & Volume Estimation from 2D Ultrasound
AI-powered medical image analysis for neonatal outcome prediction, collaborating with Penn State University's PlacentaVision initiative.
E-Vision: Intelligent Assistive Application for Visually Impaired
Developing low-cost, low-latency edge AI solutions for assistive technologies, enhancing accessibility for visually impaired individuals.
Agricultural Data Ecosystems Development
Comprehensive dataset creation for AI applications in agriculture, focusing on cardamom, millets, and walnuts in collaboration with RuTAG IIT Madras.
Prime Directives for Responsible AI for Africa
Collaborative research on establishing ethical guidelines for AI development in Africa, accepted at Data Science Africa 2025 conference in Nigeria.
CARA-FMs Framework Development
Developing theoretical frameworks for context-aware and ethical AI for East Africa, submitted to Deep Learning Indaba 2025.
Explainable Machine Learning for Preterm Birth Prediction
MTech thesis project focusing on explainable AI models for prediction of preterm birth using metabolomics data, successfully defended in July 2025.