Arianna Yauri@AriannaYauri
1
Events attended
1
Submissions made
Peru
2+ years of experience
About me
I am Arianna Yauri, a sixth-semester student of Telecommunications Engineering and passionate about technology and its ability to positiv society. Throughout my career, I have participated in hackathons and developed projects such as AgriConecta and Winaya, focused on improving the quality of life of Peruvian farmers and entrepreneurs, through educations tools. I am part of IEEE WIE (Women in Engineering), where I work to promote the inclusion oely impactf women in STEM. This experience has allowed me to develop skills in leadership, project management, and programming, including languages such as Python, C, and C++. I also have experience with OpenCV and creating chatbots.
🤓 Latest Submissions
WINAYA
In Latin America, only 21% of entrepreneurs are women, and although 33% have the desire to start a business, 70% face significant difficulties in accessing financing. In addition, in countries like Mexico, 63% of women who do not use the Internet report that the lack of necessary knowledge is the main reason for this disconnection. WINAYA was born out of the need to empower women entrepreneurs, facilitating their access to financing, technological knowledge and support networks. WINAYA is an AI-powered digital platform that offers female entrepreneurs financial advice, marketing and market analysis, all in one place. It also promotes leadership through workshops taught by the users themselves and a badge system that recognizes their achievements and strengthens their track record for obtaining financing. In addition, WINAYA allows female entrepreneurs to access networking events and collaboration opportunities. WINAYA was constructed using a robust technology stack aimed at optimizing performance, scalability, and user experience. The frontend is built with React, providing a dynamic and responsive interface. The backend is powered by Node.js, ensuring efficient handling of requests and smooth integration with the front end. For deployment, the project leverages the infrastructure of Google Cloud Platform (GCP), utilizing Cloud Run to deploy the backend seamlessly and Cloud SQL with PostgreSQL for managing and storing data reliably. Furthermore, the AI capabilities of WINAYA are enhanced using Llama3.2, which powers the platform's intelligent agents to offer tailored insights and recommendations.
25 Nov 2024
