Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
Event Website
https://pet-matchmaker.up.railway.app/
Document Type
Event
Start Date
15-4-2025 4:00 PM
Description
Angel Among Us is a non-profit organization that saves animals from high-killing rate shelters in Georgia. Their goal is to find homes for homeless pets. To increase their efforts, they are developing a web-based application to help improve adoption processes. The goal is to increase adoption rates and be able to provide adopters with information about pets and overall reduce the number of pet returns. This will be accomplished by using adopters’ information and preferences from the web-based application to find long-term compatibility with their recommended pets. The objective is to create a web application interface that includes many core components. First, the web application will use PetFinder API to collect pet data and use a catching mechanism to increase data storage by updating pet data daily and ensuring enhanced performance. The mechanism will also decrease the frequency of calls leading to good API accuracy. Adopters will then complete questionnaires to gather information about their preferences, lifestyle, allergies, and experiences. The system will use ChatGPT to analyze the adopter's results and send out recommended pet suggestions based on the given data. Also, pet profiles will be created to get information for database analysts. This will ensure that PetFinder’s animal description template will be consistent with the saved information from pet profiles to have proper pet descriptions. Overall, this approach encourages responsible pet ownership, reduces pet returns, and increases successful adoption rates.
Included in
UC-026 Pet Matchmaker
https://www.kennesaw.edu/ccse/events/computing-showcase/sp25-cday-program.php
Angel Among Us is a non-profit organization that saves animals from high-killing rate shelters in Georgia. Their goal is to find homes for homeless pets. To increase their efforts, they are developing a web-based application to help improve adoption processes. The goal is to increase adoption rates and be able to provide adopters with information about pets and overall reduce the number of pet returns. This will be accomplished by using adopters’ information and preferences from the web-based application to find long-term compatibility with their recommended pets. The objective is to create a web application interface that includes many core components. First, the web application will use PetFinder API to collect pet data and use a catching mechanism to increase data storage by updating pet data daily and ensuring enhanced performance. The mechanism will also decrease the frequency of calls leading to good API accuracy. Adopters will then complete questionnaires to gather information about their preferences, lifestyle, allergies, and experiences. The system will use ChatGPT to analyze the adopter's results and send out recommended pet suggestions based on the given data. Also, pet profiles will be created to get information for database analysts. This will ensure that PetFinder’s animal description template will be consistent with the saved information from pet profiles to have proper pet descriptions. Overall, this approach encourages responsible pet ownership, reduces pet returns, and increases successful adoption rates.
https://digitalcommons.kennesaw.edu/cday/Spring_2025/Undergraduate_Project/5