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Built a ChatGPT-Style AI Bot for Personalized Health Insights

HealthReel is an innovative digital health platform that provides virtual health assessments using AI-driven algorithms and NASA-licensed technology. The platform analyzes body composition, metabolic health, and potential health risks based on a short video submission, delivering personalized reports and recommendations in under two minutes.

3x increase in user engagement

60% faster data interpretation

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specialized
Location

Maryland, US

Duration

Aug 2023 - Jan 2024

Industry

Health, Wellness & Fitness

Services Used

“The team’s AI expertise was instrumental in bringing our vision to life. Their ability to integrate AI seamlessly into our platform made a significant impact, and we appreciate their dedication and professionalism.”

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Femi Devin Ayanbadejo

Founder

The Challenge

HealthReel generated detailed health reports that provided insights into body composition, metabolic health, and potential risks, along with personalized recommendations for fitness and wellness. However, users had to interpret these reports on their own. This posed the following challenges for the users:

  • Lack of Interactive User Support for Health Insights

    Users received detailed health reports but had no interactive way to understand their results beyond static recommendations. Many struggled to interpret body composition data, metabolic guidance, and health risk projections, requiring a more engaging and dynamic approach to support

  • Lack of Scalable Support for User Queries

    HealthReel users often had follow-up questions about their reports, wearable device data, and general health topics, but there was no real-time support system to provide instant answers. Handling these queries through manual customer support was neither scalable nor efficient, and users had to look for information outside the platform, creating disjointed user experiences.

  • Integration Challenges with Wearable and Assessment Data

    The platform collected data from multiple sources, including wearable devices and video-based assessments, but interpreting and consolidating this data into meaningful, actionable insights was a challenge. A solution was needed to automate data interpretation while ensuring seamless integration with HealthReel’s assessment technology.

  • Lack of a Scalable Architecture

    As HealthReel’s user base grew, the system required a robust cloud infrastructure that could support real-time queries, automated responses, and secure health data processing without performance bottlenecks.

  • Ensuring Reliable and Credible Health Information

    Providing users with accurate, science-backed health information required access to a broad database of medical and wellness knowledge. Without a structured way to fetch and deliver relevant health insights, users risked getting generic or inconsistent advice. HealthReel needed a data-driven AI system that could pull from verified open-source medical resources while maintaining relevance to individual health profiles.

Artificial Inteligence

The Solution

To address these challenges, we developed a scalable, ChatGPT-style AI-powered health bot, enabling real-time personalized wellness insights and a seamless user experience.

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AI-Powered Health Assistant Development

We built an advanced conversational AI assistant designed to interpret user health data, provide context-aware responses, and support multi-step conversations on topics such as nutrition, fitness, weight management, and preventive healthcare. The bot leverages OpenAI’s open-source health data to ensure evidence-based insights, helping users make informed health decisions.

Real-Time Health Data Processing & Analysis

Using Node.js and Python, we developed a backend system capable of processing real-time health metrics from assessment reports. The AI assistant analyzes user data, generates customized health recommendations, and provides risk assessments related to weight management, cardiovascular health, and metabolic function, offering tailored insights for long-term wellness planning.

Scalable, Cloud-Based Infrastructure

To ensure high availability, seamless performance, and secure access, we deployed the AI assistant on AWS Lambda, allowing for on-demand scalability as the user base grows. The system supports secure, HIPAA-compliant data processing for sensitive health information while maintaining low-latency AI responses for real-time interactions. Additionally, AWS Cognito was implemented for user authentication, ensuring secure login management, multi-factor authentication (MFA), and role-based access control, safeguarding user data and privacy.

Enhancing User Engagement and Decision-Making

With the AI-powered assistant, HealthReel users can now receive instant, personalized health insights, engage in interactive conversations on diet, exercise, and supplementation, and access detailed risk assessments for long-term health management. The chatbot's responsive, user-friendly interface enhances daily app engagement, improving retention and overall user experience.

The Results

3x

increase in user engagement

50%

reduction in user support queries

60%

faster data interpretation

40%

improvement in user retention

2x

faster health assessments

30%

reduction in onboarding time

4x

increase in personalized recommendations

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Technology Stack

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