UGI R K

Worked on image segmentation for anaemia detection using computer vision techniques and deep learning algorithms. Developed a model to accurately segment and identify anaemia-related regions in medical images.

Impact:

• Developed an image segmentation model for anaemia detection, significantly improving accuracy and efficiency in diagnosing anaemia.
• This breakthrough technology has the potential to revolutionize anaemia detection, enabling early diagnosis and timely treatment, thereby saving lives and reducing healthcare costs.

Worked on developing a decision support system to detect online payment fraud, using various tools and techniques. Implemented machine learning algorithms and data analysis methods to identify fraudulent transactions.

Impact: The implementation of an online payment fraud detection system using a decision support system has significantly reduced the occurrence of fraudulent transactions, saving businesses millions of dollars. The system utilizes advanced algorithms and real-time data analysis to accurately detect and prevent fraudulent activities, providing a secure and reliable online payment platform for users.

Worked on estimation and prediction of hospitalization and medical cost care using various tools and techniques. Analyzed data and developed models to accurately predict hospitalization and medical costs.

Impact:

• Developed a predictive model for estimating hospitalization and medical costs, resulting in improved healthcare planning and budgeting.
• The model's accurate predictions enable healthcare providers to optimize resource allocation and reduce financial burden on patients.