Hanoi Medical Hospital (Institute of Nutrition)

AI health & nutrition assistant platform

Industry:
Healthcare & Nutrition Technology
Location:
Vietnam
Duration:
June 2024 - January 2025
AI health & nutrition assistant platform
About the client

The National Institute of Nutrition (NIN) is a government-affiliated institution under the Ministry of Health of Vietnam. Established in 1980, NIN serves as the country’s central authority for research, education, and public health initiatives in nutrition, food science, and clinical dietetics.

The Institute carries nationwide responsibility for studying the dietary needs of the Vietnamese population, analyzing food safety and hygiene, conducting nutritional epidemiology, and issuing national dietary guidelines. NIN also houses specialized departments — such as Clinical Nutrition & Dietetics — which develop therapeutic nutrition regimens, advise government health policy, and implement nutrition programs across Vietnam. With headquarters in Hanoi (48B Tang Bat Ho Street, Hai Ba Trung District), NIN represents the foundation of Vietnam’s nutrition science and public health infrastructure.

Business challenge

Hanoi Medical Hospital approached Globaldev intending to modernize how nutritional care and patient health monitoring are delivered. Traditional meal tracking, calorie calculation, and health assessment processes relied heavily on manual patient input and significant oversight by nutritionists and doctors. This created inefficiencies, inconsistencies in data accuracy, and limited personalization of care.

To improve patient outcomes and ease the workload of medical staff, the hospital needed an intelligent platform capable of:

  • analyzing daily meals and identifying ingredients automatically
  • calculating kcal intake and energy expenditure
  • assessing health status based on patient inputs and behavioral tracking
  • monitoring nutrition, physical activity, and vitals in real time
  • generating smart alerts and recommendations for doctors and patients
  • suggesting personalized meals and exercise plans
  • forecasting key health indicators such as BMI and MET (Metabolic Equivalent) using AI

The overarching objective was to bring automation, accuracy, and personalization to patient nutritional management, reducing manual effort while improving dietary compliance and long-term health outcomes.

Solution

To help Hanoi Medical Hospital achieve their goals, Globaldev developed an end-to-end AI-powered Health & Nutrition Assistant that combines machine learning, computer vision, and automated health monitoring.

The solution processes daily patient meal photos and textual inputs to identify ingredients and calculate caloric values. It continuously evaluates health status using an advanced rules engine and ML models, tracking nutrition patterns, activity levels, and lifestyle behaviors. TensorFlow-based predictive models forecast BMI, MET, and other critical health indicators to provide early insights for both patients and doctors.

Interactive dashboards visualize health trends, risk zones, improvements over time, and compliance rates. A real-time alerting system notifies medical staff of abnormalities or patient needs, while the recommendation engine generates fully personalized diet and workout plans based on medical guidelines, preferences, and progress.

This integrated platform streamlines patient–doctor communication, automates monitoring, and supports data-driven health decisions.

Globaldev engineering team

To deliver the solution, Globaldev brought together a dedicated team of 10 experts responsible for full-cycle development. The team works closely with the hospital to refine AI models, expand functionality, and introduce new capabilities that strengthen digital health monitoring.
Backend engineers
Frontend engineers
AI/ML engineers
Cloud engineers
Identity & access control specialist
QA engineers

Implemented features

Meal analysis module for ingredient detection and kcal calculation
Real-time health and nutrition monitoring
User behavior tracking (diet, physical activity, habits)
AI-driven health status evaluation
Smart alerts and notifications for patients and doctors
Personalized meal and exercise recommendations
Forecasting models for BMI, MET, and other indicators
Interactive health dashboards and progress visualization
Secure authentication and role-based access via Keycloak
Cloud hosting and scalability on AWS
Video preview

FAQ

What is the AI Health & Nutrition Assistant platform?
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How does the AI system analyze meals automatically?
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How does AI improve patient outcomes in nutrition management?
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What technologies were used to develop the platform?
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How does the system support real-time health monitoring?
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Can the AI platform provide personalized recommendations?
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What role did Globaldev’s engineering team play?
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How does the platform ensure data privacy and security?
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