Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
Event Website
https://fosterpetcapstone.github.io/cDay/index.html
Document Type
Event
Start Date
15-4-2025 4:00 PM
Description
This capstone project presents a proof of concept for a mobile and web-based application designed to streamline communication between foster caregivers and the Angels Among Us Pet Rescue team. The application addresses critical inefficiencies in generating pet biographies and coordinating photography efforts, which are essential components in increasing adoption rates. Leveraging cutting-edge technologies such as Twilio, Retell AI, and OpenAI, the app implements a bio generation workflow that conducts foster interviews via phone calls, transcribes responses using AI-powered voice-to-text, analyzes sentiment, and produces structured, engaging pet bios for platforms like Petfinder. Additionally, the system automates email workflows to coordinate photography sessions, minimizing manual coordination. Built using React for the front end, PostgreSQL for the database, and Python for backend automation, the application emphasizes both usability and data security, ensuring sensitive foster and pet information is handled responsibly. This project demonstrates the practical application of AI and full-stack development to solve real-world challenges in animal rescue and adoption operations.
Included in
UC-136 Foster AI Interview and Biography Generation
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
This capstone project presents a proof of concept for a mobile and web-based application designed to streamline communication between foster caregivers and the Angels Among Us Pet Rescue team. The application addresses critical inefficiencies in generating pet biographies and coordinating photography efforts, which are essential components in increasing adoption rates. Leveraging cutting-edge technologies such as Twilio, Retell AI, and OpenAI, the app implements a bio generation workflow that conducts foster interviews via phone calls, transcribes responses using AI-powered voice-to-text, analyzes sentiment, and produces structured, engaging pet bios for platforms like Petfinder. Additionally, the system automates email workflows to coordinate photography sessions, minimizing manual coordination. Built using React for the front end, PostgreSQL for the database, and Python for backend automation, the application emphasizes both usability and data security, ensuring sensitive foster and pet information is handled responsibly. This project demonstrates the practical application of AI and full-stack development to solve real-world challenges in animal rescue and adoption operations.
https://digitalcommons.kennesaw.edu/cday/Spring_2025/Undergraduate_Project/27
