Ay-Solomon/Bi-Lingual-BankerBOT-Chatbot

Enhancing the banking experience for both English and Yoruba speakers with seamless, intuitive support. # Bi-Lingual BankerBOT Chatbot ## 🚀 Introduction Building a chatbot that truly connects with people isn’t just about code—it’s about understanding their needs. That’s exactly what I set out to do with Bi-Lingual BankerBOT. This chatbot helps users navigate their banking needs effortlessly, supporting both English and African languages for a smoother and more inclusive experience. ## 📌 Table of Contents - About Amazon Lex - Project Setup - Key Features - Tech Stack - Epic User Story - Use Cases - Intents Configuration - Fallback Mechanism - Testing and Iteration - Conclusion ## 🤖 About Amazon Lex Amazon Lex is the engine that powers BankerBOT. It’s a cloud-based AI service that makes it incredibly easy to build chatbots. With its built-in speech recognition and natural language processing, I was able to focus on crafting the best user experience instead of wrestling with complex AI models. ## ⚙️ Project Setup **Amazon Lex Setup** ### Step 1: Creating the Chatbot Getting BankerBOT up and running took just 3 minutes. The interface is intuitive, making it simple to create a functional chatbot without breaking a sweat. ### Step 2: Assigning Permissions Security is key, so I created a role with basic permissions to ensure the bot has just enough access to function—nothing more, nothing less. ### Step 3: Setting Confidence Threshold I stuck with the default confidence threshold of 0.40, which helps the bot balance between accurate responses and reducing false positives. This ensures smoother interactions and fewer frustrating moments for users. ## 🌟 Key Features - **🗣️ Bilingual Support**: Handles conversations in both English and African languages. - **🔍 Smart Intent Recognition**: Accurately understands user queries and provides meaningful responses. - **🛡️ Robust Fallback System**: Ensures that even unrecognized inputs receive helpful guidance. - **💬 Natural Conversation Flow**: Uses multiple variations to make interactions feel human-like. ## 🛠️ Tech Stack …