Through its agship program of Community Health Workers or (CHWs), the Government of India appoints some the local people from the rural areas and trains them to make regular home visits to newly turned mothers and to provide ...

This B.Tech project at IIIT-Delhi reimagines the traditional course feedback system, ”opine,” by transitioning to a personalized model using Language Models (LLMs). The project is designed for flexibility, allowing easy ...

There are various domains under which Machine Learning has been successfully applied. With the availability of high computing resources, tasks such as image classification, object detection and others are easily tackled ...

Facial expressions are widely used for interpersonal communication as they reflect the internal affective or emotional state of an individual. Humans are highly dependent on facial cues and expressions to judge the effective ...

In response to the Covid 19 pandemic, countries have sought to control the spread through restricting population movement and social distancing protocols. It was found that with the decrease in mobility of the people, the ...

Protest movements have swept up in different parts of the world. In recent times, the #antiCAA protests in India and the #BlackLivesMatter protests in the USA have gained publicity and momentum as they witnessed major ...

Generating unit tests is a crucial undertaking in software development, demanding substantial time and effort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...

Unsupervised domain adaptation (UDA) has emerged as a vital research area in the field of machine learning and computer vision. It addresses the challenge of adapting models trained on a labeled source domain to perform ...

The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...

Multimodal sarcasm explanation is a challenging natural language understanding task that deals with training machines to understand the semantic incongruence present in sarcasm as a form of communication and resolve it to ...