The project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and ...

The project aims to validate user credentials using blockchain technology, which can help enhance security and trust in the certification process. The platform allows employers to issue certificates to their employees, ...

Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...

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 ...

This project report investigates the development of a drone control system using ARM Cortex-M3 based System on Chip (SoC) and the need for indigenously designed SoCs. The objective was to interface the Cortex M3 processor, ...

Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...

In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...

Counting Bloom filters are highly space-efficient with a small probability of false positives. Concurrent access to a Counting bloom filter can greatly increase its insertion and query throughput.

In the labyrinth of Assam’s socio-cultural tapestry, the paradox of women’s empowerment and the stark reality of maternal healthcare challenges emerges as a compelling narrative. This investigation delved into the intricate ...