The project involves improving the conversational logic and response timing of Ava, an AI-powered voice receptionist developed by Voco AI. Ava is designed to handle real-time customer calls, appointment bookings, and cancellations using advanced technologies like GPT, Deepgram, ElevenLabs, and Twilio. The current challenge is to refine Ava's ability to understand and respond to customer queries more efficiently and naturally. The goal is to enhance user experience by reducing response delays and improving the accuracy of conversational exchanges. This project will provide learners with the opportunity to apply their Python programming skills and knowledge of AI technologies to a real-world application. By working on this project, students will gain hands-on experience in AI development and contribute to the advancement of a cutting-edge voice AI system.

The deliverables for this project include a detailed report and a set of Python scripts that demonstrate improved conversational logic and response timing for Ava. Students will be expected to document their code and provide a comprehensive analysis of the improvements made. Additionally, a presentation summarizing the project's outcomes and the impact on Ava's performance will be required. The final deliverables should showcase the students' ability to enhance AI functionalities within the constraints of a controlled codebase environment.