The annual production of research articles is increasing rapidly. In the field of article review it is a crucial part of content validation and quality assurance. Traditionally, this process is manual, time-consuming, and often subject to human biases and inconsistencies. This Research Article Relevancy Evaluation Automation System for Generative AI aims to develop an AI-driven system that can evaluate relevancy on specific domain and review articles to provide relevancy score, feedback, and grammar checking.
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end…
“The wristGuard application employs a hybrid approach, combining deep learning models for feature extraction and stacking ensemble method for classification…
“The COVID-19 epidemic changed IT industry processes by hastening the introduction of remote work. In virtual workplaces, detecting employee engagement…
“VRoxel is an innovative procedural generation system that addresses critical challenges in creating large-scale 3D environments for VR applications. The…
Block-based programming (BBP) has proven effective in teaching programming concepts, offering a visual and more intuitive approach than traditional text-based…
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