AI/ML Timeline and Chatbot

- Learnt on the basics of AI/ML like Turning test, AI winter and ML

- Created a complete visual timeline chart on the emergence of Google Gemini  

        

Chatbot creation

Title: Eco-Coach Chatbot Project

Objective: Help users design and build personalized chatbots for websites, businesses, or learning projects without needing coding expertise.

Link for the project:

https://mizou.com/preview-bot?ID=92042

Values:

  • Interactive AI helps in building a website for food outlets
  • Precise in asking questions about user requirements
  • Highly adaptable to user dynamic constraints

Reflection

Working on the Eco-Coach Chatbot Project provided an opportunity to explore the intersection of user experience design and artificial intelligence. The project aimed to empower individuals and businesses to create customized chatbots without requiring prior coding knowledge. Throughout the development process, I learned how AI-driven tools could simplify complex tasks by engaging users through interactive and intuitive question prompts.

One key takeaway was the significance of user-centric design. The chatbot's success depended on its ability to ask precise questions and adapt to varying user requirements, highlighting the need for continuous feedback loops during development. Additionally, incorporating adaptability into the chatbot allowed it to meet dynamic constraints—such as changes in user preferences or business goals—making it a flexible solution for diverse contexts, including food outlet websites.

This experience enhanced my understanding of how conversational AI can streamline digital engagement and reinforced the importance of designing tools that are both accessible and scalable. Overall, the project strengthened my skills in AI integration, user interaction modeling, and iterative problem-solving, which are invaluable for future professional endeavors.

References

McTear, M. F. (2020). Conversational AI: Dialogue systems, conversational agents, and chatbots. Morgan & Claypool Publishers.

Luger, E., & Sellen, A. (2016). "Like having a really bad PA": The gulf between user expectation and experience of conversational agents. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 5286–5297. https://doi.org/10.1145/2858036.2858288