
In May 2025, LTPD175 developed a Python-based Llama-2 conversational AI chatbot prototype for the Chameleon-company/MOP-Code repository, focusing on interactive user conversations and rapid prototyping. Leveraging skills in chatbot development, data engineering, and natural language processing, LTPD175 prepared structured JSON datasets for training and testing, along with a Windows-specific desktop.ini to streamline access for stakeholders. The work emphasized business value by enabling immediate demos, user testing, and iterative improvements in customer support workflows. While the project was limited in scope to a single feature, it established a solid foundation for future integration and evaluation of conversational AI solutions.

May 2025 focused on delivering an interactive AI prototype and preparing data assets for experimentation, with an emphasis on business value and future integration readiness. Delivered a Python-based Llama-2 chatbot prototype capable of interactive conversations, supported by training/testing JSON datasets and a Windows-specific desktop.ini for quick access. This work enables rapid demos, user testing, and iterative improvements in customer support and UX.
May 2025 focused on delivering an interactive AI prototype and preparing data assets for experimentation, with an emphasis on business value and future integration readiness. Delivered a Python-based Llama-2 chatbot prototype capable of interactive conversations, supported by training/testing JSON datasets and a Windows-specific desktop.ini for quick access. This work enables rapid demos, user testing, and iterative improvements in customer support and UX.
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