PacerBot uses advanced RAG technology to instantly answer your questions about USC Aiken. Get accurate information about courses, faculty, student activities, and more in seconds.
Chat with PacerBot →Access tailored information about student-to-faculty ratios, admission rates, tuition costs, courses, and campus life—all specific to USC Aiken.
Get accurate answers in under 20 seconds. Our optimized RAG pipeline with vector search retrieves information instantly from university documents.
Unlike generic chatbots, PacerBot only answers from verified USC Aiken content. If information isn't available, it tells you—no hallucinations or made-up answers.
Hosted on Amazon Web Services with 95%+ uptime guarantee. Scalable, secure, and available 24/7 whenever you need help.
Leveraging OpenAI's latest API for natural, conversational responses that understand context and provide helpful guidance.
Built with AWS security best practices including Amazon Signature Version 4 authentication. Your data stays protected with enterprise-grade encryption.
Type any question about USC Aiken—courses, faculty, admissions, campus life, or student services.
Our vector database searches through university documents stored in OpenAI Vector Storage to find relevant information.
OpenAI API generates a natural response using only the retrieved context, ensuring accuracy and relevance.
Receive your answer in under 20 seconds, with the option to ask follow-up questions for a deeper understanding.
PacerBot was developed by a dedicated team of students at the University of South Carolina Aiken to solve a real problem: finding accurate, university-specific information quickly and easily.
Unlike generic AI chatbots, PacerBot is built exclusively for the USC Aiken community, trained on official university content to provide reliable answers about everything from admissions to campus life.
Full-Stack Developer
Designed chatbot layout and core functionality. Helped create an API key through AWS Secrets Manager and monitored the project cost in AWS. Contributed to testing through the use of different GPT models and deployment of the application and documentation.
Full-Stack Developer & AWS Specialist
Implemented AWS services including Lambda, API Gateway, and Amplify, while contributing to front-end design, back-end development, and OpenAI integration. Also contributed to testing and deployment of the application.
Full-Stack Developer & Project Manager
Configured AWS services including Lambda and Amplify, S3, CloudWatch, API Gateway, Compiled institutional documents OpenAI vector storage, API connectivity, led structured Excel-based testing frameworks, contributed to front-end components, while coordinating development tasks and structure with Jira.