A Digital Nutrition Monitoring System
Tracking cooking and storage conditions to predict nutrient degradation in prepared foods
Okute Joseph - Team Leader
Betty Kinanu - Researcher
Catherine Waithira - Developer
Florence Marion - Designer
Irene Mwaka - Project Manager
Course: Food Science & Nutrition
Unit: Information Technology
Unit Code: ICS2100
Institution: JKUAT
Every day, millions of people consume food that has lost significant nutritional value due to improper cooking and storage—yet they remain completely unaware. A vegetable stir-fry that starts with 100% of its vitamin C can lose up to 50% within hours of cooking. A meal stored overnight may retain less than 40% of its original nutrient content.
Current nutrition labels only reflect ideal laboratory conditions—not real-world preparation. Consumers have no way of knowing how cooking methods (boiling vs. steaming) or storage duration impact the actual nutrients they consume. This data gap leads to poor dietary decisions and suboptimal health outcomes.
Healthcare facilities, food services, and catering operations struggle to provide accurate post-preparation nutrition data. This affects patient recovery, dietary planning for athletes, and quality assurance in food businesses.
With rising food insecurity and nutrition-related diseases, understanding and minimizing nutrient loss is more critical than ever. There is an urgent need for accessible tools that help individuals and organizations make informed food decisions.
An innovative digital system bridging the gap between food preparation and actual nutrient intake
IoT sensors continuously track temperature, time, humidity, and light exposure during cooking and storage.
Advanced algorithms predict nutrient degradation based on environmental factors and food type.
Users receive instant feedback on nutrient retention through intuitive dashboards and mobile apps.
Smart notifications advise optimal consumption windows and storage improvements.
A sophisticated four-stage process integrating hardware, cloud computing, and user-friendly interfaces
IoT sensors track temperature, time, humidity, and light exposure
Secure cloud-based analytics platform
Nutrient degradation models & algorithms
User-friendly dashboard & mobile app
Temperature and duration of cooking processes, critical for heat-sensitive nutrients like Vitamin C and B vitamins.
Storage temperature and time, affecting nutrient stability and microbial growth.
Exposure to oxygen and light, which degrades vitamins and antioxidants.
Food type and initial nutrient profile providing baseline data for calculations.
NutriTrace employs scientifically validated degradation models specifically designed for vitamins and minerals. Our system accounts for the unique characteristics of heat-sensitive and light-sensitive nutrients.
Mobile and web-based dashboard accessible on smartphones, tablets, and desktop computers.
Clear charts, graphs, and color-coded alerts for nutrient loss.
Smart suggestions for optimal consumption timing.
Seamless integration with diet tracking and health apps.
Helping families maximize nutritional value of meals through smart monitoring.
Precise nutrition planning and patient dietary management.
Ensuring consistent food quality and accurate nutrition information.
Data-driven analysis for food science research and quality assessment.
Improved nutritional awareness and informed decision-making.
Reduced nutrient loss through optimized cooking and storage.
Superior dietary planning for patients, athletes, and individuals.
Consistent nutritional standards through data-driven management.
Personalized nutrition recommendations tailored to individual health profiles.
Deep integration with smart cookware, refrigerators, and IoT appliances.
Comprehensive databases covering thousands of food types worldwide.
Advanced alerts for spoilage, quality loss, and optimal consumption windows.
Try the NutriTrace interactive calculator to see how cooking and storage affect your food's nutrients.
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