medX Smart Solutions aims to enhance its customer support by developing a chatbot powered by Large Language Models (LLMs). The project involves setting up a chatbot that can efficiently handle customer queries using the company's existing knowledge base and troubleshooting steps. The team will explore various platforms such as Intercom and Voiceflow, as well as consider developing an in-house proof of concept. The goal is to create a solution that improves response times and customer satisfaction while reducing the workload on human support agents. This project provides an opportunity for learners to apply their knowledge in natural language processing, machine learning, and software development.

Key tasks include:

- Researching and evaluating different chatbot platforms.

- Integrating the chosen platform with the company's knowledge base.

- Developing a prototype chatbot that can handle common customer queries.

- Testing and refining the chatbot for accuracy and efficiency.

The project deliverables will include a comprehensive report on the evaluation of different chatbot platforms and a functional prototype of the chatbot. The prototype should be able to interact with customers, provide accurate responses based on the knowledge base, and demonstrate the potential for scalability. Additionally, a presentation summarizing the project findings and recommendations for future development will be required.