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AI-based Questionnaire Generator for Mental and Physical Fitness

This project delivers a sophisticated, AI-driven automation platform designed to modernize how Fortune 500 companies assess employee wellness. It replaces manual, labor-intensive surveys with a personalized, scalable system that covers physical, emotional, social, financial, and parental well-being.

Project Overview

AI-Driven Personalization: By integrating the OpenAI API, the system dynamically generates personalized questionnaires based on initial employee profiles. This ensures that the questions are relevant to the individual’s specific lifestyle and well-being needs, increasing engagement and data accuracy.

Enterprise-Grade Backend & Frontend: The application was developed using Spring Boot for a robust, secure backend, while Vaadin was utilized to create a responsive, intuitive web interface. This combination allows for a seamless “desktop-class” experience within a web browser, perfect for corporate environments.

Advanced Data Analytics & Search: To handle the vast amounts of data generated by thousands of employees, Elasticsearch was implemented. This allows for near-instantaneous reporting and cross-departmental analytics, identifying wellness trends across the organization in real-time.

Instant Reporting & Actionable Insights: The platform doesn’t just collect data; it analyzes it. Upon completion, the system automatically generates comprehensive reports and tailored improvement suggestions, providing employees with immediate value and businesses with actionable wellness metrics.

Key Features & Workflow:

1

Personalized Questionnaire Generation:

– Leveraged OpenAI to craft context-aware questions across six wellness dimensions.
– Adapted survey depth and tone based on user input to reduce survey fatigue.

2

Real-time Wellness Reporting:

– Automated the generation of individual and corporate-level wellness scores.
– Provided instant feedback loops with personalized suggestions for lifestyle improvements.

3

High-Performance Data Retrieval:

– Used Elasticsearch to facilitate fast, complex queries over historical survey data.
– Enabled HR departments to filter and visualize wellness trends by department or region.

4

Seamless Enterprise User Interface:

– Built a clean, professional UI using Vaadin that requires no browser plugins.
– Ensured high accessibility and ease of use for diverse employee demographics.

5

Secure and Scalable Data Storage:

– Managed structured employee records and survey results using MySQL.
– Designed the system to scale efficiently for large-scale Fortune 500 deployments.

Summary

As Lead Engineer, I directed the transition from a manual, costly survey process to a fully automated AI solution. By combining Spring Boot, Vaadin, and OpenAI, we delivered a platform that not only reduced operational costs and human error but also provided deeper, data-driven insights into employee health. The result is a scalable, enterprise-ready tool that helps organizations foster a healthier, more productive workforce.

Tech Stack

ElasticsearchMySQLOpenAI APISpring BootVaadin