Projects

AI Knowledge Base ChatBot

I developed an AI Knowledge Base ChatBot to enhance the accuracy and reliability of AI-generated responses using the Retrieval-Augmented Generation (RAG) technique. A knowledge base chatbot is designed to answer user queries by accessing a repository of information, ensuring precise and contextually relevant responses. This project integrates a vector database to fetch pertinent information, thereby improving the performance of the generative AI model. Built with JavaScript, HTML, and CSS, and utilizing the Langchain framework, the app leverages Supabase as a vector database. The user-friendly interface was inspired by an online course mockup.

Simple AI Travel Agent App

I developed a JavaScript, HTML, and CSS app for learning and exploring with AI Agents. The app leverages OpenAI GPT3.5 LLM model and the beta runTools function to execute the agent loop and run various tools available to the agent. These tools include access to weather APIs to provide users with real-time weather information and at the moment it dynamically generates (hallucinate) flights and hotels coherent with the user input query. The user-friendly interface was inspired by a mockup from an online course.

FL3XX API Developer Portal

I designed and developed the FL3XX API Developer Portal to simplify API integration and foster collaboration among developers. This project offers a comprehensive guide for developers working with the FL3XX API, including detailed documentation, pricing information, and a sandbox environment for testing and development. The portal provides a step-by-step approach to help developers plan, build, and launch their applications. With various use cases and clear guidance on integration, it empowers developers to automate workflows and connect their tech stacks efficiently. This project reflects a focus on creating a user-friendly platform for developers, enabling them to unlock the full potential of the FL3XX API and drive innovation within their teams.

Hackathon MVP

As the Product Manager for our hackathon team, I had the incredible opportunity to lead the development of an innovative solution for Billa, a leading retail chain. Our challenge was to enhance the in-store shopping experience by integrating new features into the existing Billa app. Our solution focused on two key areas: 1. In-Store Navigation: We developed a feature that allows customers to efficiently find items on their shopping list by creating an optimal route within the store. This not only saves time but also enhances the overall shopping experience. 2. Digital Shopping Assistant: This feature acts like a personal chef, providing recipe recommendations based on the customer’s preferences and dietary needs. It integrates seamlessly with the in-store navigation, ensuring that customers can easily find the ingredients they need. Our project aims to make grocery shopping more efficient and enjoyable, addressing key pain points such as time and effort while also increasing customer satisfaction and engagement.