This project aims to research and develop AI-assisted VIA screening using mobile-captured photos to build a more consistent and accurate smartphone-based
This project aims to develop object detection models to detect diarrhea cysts from vegetables, stool, and water samples using images captured from a smartphone microscope.
The main goal of this project is to do a landscape mapping of understanding and approaches to AI Ethics in Nepal among three key stakeholders: Technology
The project involves (i) detecting all mutations in a large cohort of WGS (Whole Genome Sequence) data of Mycobacterium tuberculosis (Mtb), (ii) investigating
The objective of the study is to design a geometric deep learning approach to identify whether a person is suffering from some sort of neurological disorder or
CT scans are often taken to visualize internal body organs, diagnose pathologies and for surgical planning. These devices provide better visualization than X-ray
We will first do a comprehensive review of the current state-of-the art of NLP tools and techniques developed for the Nepali language. The study will cover the areas
We aim to design and implement a deep learning-based algorithm to classify different dystonia types and predict their severity by detecting patients’ gaits
Water-borne diseases due to parasites such as Giardia and Cryptosporidium are still an important problem in Low-Income Countries like Nepal. Traditionally,
Supervised deep learning methods have seen tremendous progress with several successful applications since the resurgence of neural networks in the beginning
2D US is the most common imaging modality for cardiovascular diseases and fetal scans. The portability and relatively low-cost nature of Ultrasound (US)
Idiopathic scoliosis is one of the most common spinal deformities that can be potentially lethal if not intervened early enough. Cobb angle that provides a
“My room” is an exclusive feature in Explorug, a product of Alternative Technology, that can overlay 3D objects onto a single RGB image. The feature uses
Artificial Intelligence, Machine Learning and Deep Learning has been around for a while. Everyone is fascinated by them. In fact, hypotheses quoting them
This is a multi-disciplinary research with an aim to empower everyone to be able to measure pesticide concentration present in the vegetables and fruits
