AI, AWS, Business System, Web App
Melog : AI Assistant System
This system is designed to offer holistic health management for company by integrating technology and personalized insights.
1 year
Team size:
7
Requirements Definition
Basic Design
Detail Design
Development
Testing
Release
Maintenance
About Project:
Main Features:
- Pre-Disease Score: evaluate and monitor pre-disease conditions through scoring.
- Condition Calendar: track and visualize health status over time with a calendar interface.
- Rest Recommendation Days: suggest optimal rest days based on user health data.
- Nutritional Advice: provide tailored dietary recommendations to improve overall health.
- Billing Overview: display and manage a comprehensive list of invoices.
- Pre-Disease Questionnaire Information: collect and analyze questionnaire data for personalized insights.
- GPT Integration: leverage AI capabilities for advanced recommendations such as refresh days and nutrition advices to users
Devices
.
Browser(Chrome, Safari)
Server and others
.
AWS EC2, Cloud Front, Route53, Load Balancer, RDS, WAF, Cloud Watch
Technology
VueJS
AWS
ChatGPT
Python
Challenge
Condition Calendar: Track and visualize health status over time with a calendar interface.
・The UI/UX must be highly intuitive and easy to understand.
・Users may not consistently record their data.
・Large amounts of data may slow down display performance.
GPT Integration: Leverage AI capabilities for advanced recommendations such as rest days and nutrition advice.
・RAG data is too big (3GB)
・Protecting user privacy is critical.
・Slow response times can negatively impact user experience.
Solution
Condition Calendar: Track and visualize health status over time with a calendar interface.
・Use color coding and icons to create an intuitive design.
・Implement gamification (badges, points) to encourage user engagement.
・Optimize data processing to ensure a lightweight and responsive display.
GPT Integration: Leverage AI capabilities for advanced recommendations such as rest days and nutrition advice.
・Check all documents to remove unnecessary knowledge to reduce tokens imported into the GPT Vector.
・Use anonymized data to ensure user privacy.
・Implement caching mechanisms to reduce response time.
Project Gallery
(4)
Testimonial
Mr Kim Ji Soo
COO - Bean Bros Inc
I am very satisfied with Urani's handling of the large workload. Thank you very much.
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