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Nitya worked with Juma Ventures on a project to identify potential locations for their expansion plans across the United States. She was tasked with conducting extensive quantitative research and data collection on various locations’ sports, events, non-profit, and philanthropic landscapes. Through this process, she also re-calibrated and refined Juma's site assessment/scoring tool based on insights generated from the analysis. Ultimately, she was able to compile a list of locations that are best suited for Juma to expand its presence. She hopes that the findings from this project will aid Juma in its efforts to empower and uplift disconnected youth by providing them with employment opportunities.

In April, Saranya represented ºÚÁϸ£ÀûÍø at the CSU Research Competition in San Diego.

The REMINDER digital assistant is a solution that aims to help people with dementia or Alzheimer's disease. The product is a combination of hardware and software and includes a lightweight, compact design that is easy to transport. The core circuit includes an ESP8266 Wifi Module, a voltage regulator, and a buzzer, while the external packaging is made from environmentally friendly materials. The product is designed to be user-friendly with a compatible app for Android and IOS platforms, making it easier for patients and their families to locate misplaced items. At a low cost of $5 per unit, REMINDER is a practical and cost-effective solution that provides patients with the support they need to carry out daily activities with ease.

"Chartbuster - Making data more accessible"

The World Institute on Disability reports that almost all websites on the internet (98%) are not accessible to people with vision problems, even when using screen readers. This project aims to improve the accessibility and user experience of data charts for visually impaired individuals by creating a browser extension. The extension will use a machine learning algorithm to identify data charts on websites and provide a tabular analysis that can be easily accessed with screen readers. Additionally, the extension will include sound effects to indicate changes in the data. The goal is to create an accessible solution that meets standards and can be used by a wide range of visually impaired individuals.

Karimah’s project aims to expose the potential discriminatory practices in the loan origination process. It’s crucial to determine if minorities have access to financial leverage and the opportunity to build equity for themselves and future generations. Discriminatory practices have interrupted the success of minority communities making it difficult for them to flourish both economically and psychologically. We must hold lending institutions accountable to ensure diversity is not a hurdle to financial opportunities.

Using various machine learning algorithms, Karimaj gained insight into the lending patterns of numerous financial institutions. Her investigation revealed significant disparities in the approval rates for Black, Native American, and Pacific Islander applicants. Their likelihoods of approval are 4.2%, 2.7%, and 1.7% lower compared to White applicants. While An income of at least $110,000 reduced some disparities, inconsistencies still existed for Black, Hispanic, and Native American applicants.