Alla Bannikova

“Each step prepares you for the next one. The projects helped me to gain confidence and the community is very beneficial.”

Alla Bannikova

Data Analyst

Project overview

In this project, you’ll assume the role of a developer at an emerging tech company tasked with creating an AI chatbot to improve user engagement across various platforms. Using Python and the OpenAI API, you’ll build a chatbot from scratch, implementing advanced conversation management and diverse prompt engineering techniques.

You’ll gain skills in crafting distinct personas, monitoring token usage, and maintaining contextual conversation history as you develop a chatbot capable of nuanced, adaptive interactions. This project will deepen your understanding of AI-powered conversational interfaces and their real-world applications.

Objective: Develop a sophisticated AI chatbot that delivers versatile, context-aware interactions to boost user engagement on different platforms.

Key skill required

To complete this project, it's recommended to build these foundational skills in Python

  • Executing API calls and handling API responses using Python
  • Developing chatbots by implementing Python classes and methods
  • Implementing conversation history tracking and token management in chatbots
  • Crafting effective prompts to guide AI-generated responses

Projects steps

Step 1: Developing a Dynamic AI Chatbot

Step 2: Creating the Chatbot Framework

Step 3: Enhancing the Chatbot with Parameters

Step 4: Implementing Chat History Management

Step 5: Managing Conversation History Size

Step 6: Integrating Token Management

Step 7: Implementing Different Chatbot Personas

Step 8: Persistent Storage with JSON

Step 9: Advanced Error Handling and User Feedback

Step 10: Testing and Evaluation

Step 11: Next Steps

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