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Introduction
Introduction
During the Assura AI Hackathon, our team tackled the challenge of creating innovative solutions to enhance user experience within the insurance domain. We designed and developed a Proof of Concept (POC) chatbot aimed at simplifying the complex process of selecting the right insurance plan, leveraging AI, and specifically utilizing the Gemini 1.5 Pro model, to provide personalized recommendations.
Infrastructure provided by Google Cloud Platform (GCP).
Problem Statement
Problem Statement
Choosing the appropriate insurance policy can be overwhelming for many users due to the diverse range of options, technical jargon, and lack of personalized guidance. Users often struggle to navigate through different plans, resulting in confusion, frustration, and potentially selecting an unsuitable plan for their specific needs.
Solution
Solution
Our POC chatbot offers an AI-powered conversational interface that guides users through a step-by-step process to identify their specific insurance needs. By asking a series of targeted questions and analyzing user responses, leveraging the Gemini 1.5 Pro model, the chatbot provides personalized insurance recommendations, simplifying the complex decision-making process.
Key Features & Functionality
Key Features & Functionality
Conversational Interface: Utilizes natural language processing (NLP), powered by Gemini 1.5 Pro, to understand user inquiries and provide context-aware responses.
Personalized Recommendations: Analyses user responses, through the Gemini 1.5 Pro model, to identify suitable insurance policies based on their specific needs, budget, and risk profile.
Simplified Explanations: Explains complex insurance terms in simple and easy-to-understand language.
Interactive Guidance: Walks users through a structured decision-making process using interactive prompts.
Multiple Languages: The chatbot is built to support French, English, and German, enhancing accessibility and user experience.
Data-Driven: Leverages a large database of insurance policies to accurately match the best policies to the user needs.
Design & Development Process
Design & Development Process
Our team followed an iterative approach to design and development, focusing on user-centered design principles. We used agile methodologies to rapidly prototype and test the chatbot, incorporating feedback from users and adapting accordingly. We primarily leveraged the Gemini 1.5 Pro model for its advanced capabilities.
Outcomes & Results
Outcomes & Results
Although still in the Proof of Concept phase, our chatbot effectively demonstrated its ability to provide users with personalized insurance recommendations while simplifying the decision-making process, leveraging the power of Gemini 1.5 Pro. The chatbot provided accurate solutions and was seen as user-friendly in initial tests.
Lessons Learned
Lessons Learned
This hackathon experience provided valuable insights into the challenges and opportunities of developing AI-powered solutions for the insurance industry. We learned the importance of understanding user needs, iterating rapidly, using advanced models like Gemini 1.5 Pro, and using robust methods for user feedback. We are also now aware of the complexities of working in a cross-functional team to develop a product rapidly.
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