
Genomic Epidemiology of SARS-CoV-2 in Nepal
The coronavirus disease 2019 (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2
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Evaluating Nepali Sexual, Reproductive, and Maternal Health (SRMH) Chat-bot with Large Language Models (LLMs)
Most people in Nepal don’t have easy access to clear information about Sexual, Reproductive, and Maternal
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3D Reconstruction from Biplanar X-ray
CT scans are often taken to visualize internal body organs, diagnose pathologies and for surgical planning.
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Abusive Nepali Text Detection
This project focuses on aiding IPV research to understand the nature and prevalence of online IPV and to
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AI-assisted VIA Screening of Cervical Cancer
This project aims to research and develop AI-assisted VIA screening using mobile-captured photos to
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AI Assisted Microscopy
This project aims to develop object detection models to detect diarrhea cysts from vegetables, stool, and water
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AI Ethics Survey in Nepal
The main goal of this project is to do a landscape mapping of understanding and approaches to AI Ethics in Nepal
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Systems Genomics Modeling of Multi-drug Resistance in Mycobacterium tuberculosis
Multi-drug resistance presents a growing challenge to global tuberculosis (TB) control efforts, with a
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Geometric deep learning on graphs for electroencephalogram dataset
The objective of the study is to design a geometric deep learning approach to identify whether a person is
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GI tract anomaly detection from endoscopy images
The aim of this research is to build comprehensive techniques for detection, localization and
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State-of-the-art in Nepali NLP
We will first do a comprehensive review of the current state-of-the art of NLP tools and techniques
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Nepali Dialogue Corpus
This research aims to study the existing Nepali dialogue corpus (if any), identify their limitations, and
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Motion Analysis for Clinical Classification of Dystonia Patients using deep Learning-based Approach
We aim to design and implement a deep learning-based algorithm to classify different dystonia types and
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AI-Assisted Smartphone Microscopy
Water-borne diseases due to parasites such as Giardia and Cryptosporidium are still an important problem in
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Semi-Supervised Semantic Image Segmentation
Supervised deep learning methods have seen tremendous progress with several successful applications since
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Uncertainty Estimation in Semantic Segmentation of US Images
2D US is the most common imaging modality for cardiovascular diseases and fetal scans. The portability and
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Automatic Spine Curvature Estimation from X-ray Images
Idiopathic scoliosis is one of the most common spinal deformities that can be potentially lethal if not intervened
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Augmented Reality System for Overlaying Objects in Room
“My room” is an exclusive feature in Explorug, a product of Alternative Technology, that can overlay 3D
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Estimating Pesticide Concentration with Smartphone
This is a multi-disciplinary research with an aim to empower everyone to be able to measure pesticide
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HIPPIE- Autonomous Robots Using Machine Learning and Swarm Intelligence
Artificial Intelligence, Machine Learning and Deep Learning has been around for a while. Everyone is
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