This paper has been published in the Journal of Electrical Sciences (JES) under Scopus. This paper focuses on AI-driven algorithms like Random Forest and CNNs to optimize financial decision-making. It evaluates their effectiveness in minimizing risks and maximizing returns, while addressing ethical concerns such as the 'black box' problem in AI systems. This highlights how AI can transform financial industries by enabling faster, data-driven decisions and reducing manual intervention, thus potentially leading to increased profitability
This paper has been published in the International Journal for Computer Trends and Technology (IJCTT). This research examines the use of AI-based models, like Roboflow and YOLO, to enhance the early detection of nail diseases. It emphasizes AI’s potential in improving diagnostic accuracy, particularly in underserved areas, by identifying various nail diseases accurately and reliably.
This research paper has been published in the International Journal for Multidisciplinary Research (IJFMR). This paper explores the correlation between motor function and quality of life in children with Spina Bifida and Hydrocephalus, focusing on rural Indian families. It highlights the challenges faced by these families and the need for improved healthcare support. I was in charge of making the questionnaire and providing the data for all the answers.