Engineering a microservices-based AI ecosystem for Eating All Together LLC, utilizing Computer Vision and Geolocation to bridge the gap between clinical nutritional goals and daily lifestyle execution.
Trusted by Leading Fortune 500 Innovators
Holistic nutrition platform specifically architected for women’s metabolic and lifestyle requirements.
Full-stack mobile engineers + AI/CV Specialists + Cloud Architects embedded to build a scalable microservices backend.
Simplifying complex calorie tracking and grocery logistics into an autonomous, AI-curated user journey.
React Native, OpenCV (Computer Vision), Geolocation APIs, and Node.js Microservices architecture.
The client identified a systemic failure in existing digital health tools: users were forced to toggle between disjointed calorie trackers, recipe blogs, and grocery apps, leading to high abandonment and tracking fatigue.
The technical challenge was structural: creating a nutrition ecosystem that was culturally adaptable and holistic—integrating real-world grocery data and local restaurant nutritional values without the lag typical of monolithic mobile apps.
Users spent 45+ mins/week manually selecting recipes and calculating macros.
Autonomous generation of weekly plans reduced user time by 60%.
Product searches slowed down linearly as the user base and database expanded.
Modular architecture maintained sub-second latency across 50k+ product queries.
Manual entry required for grocery lists with no link to meal plan inventory.
Bi-directional sync between planning and grocery automation via event-driven triggers.
Computer Vision layer that identifies inventory and suggests recipes, solving the 'empty fridge' conversion blocker.
Optimized database indexing and caching for over 50,000 nutritional products, ensuring instantaneous UI response.
Filters local dining options by specific dietary requirements, extending the platform's utility outside the home.
Pre-built HIPAA-compliant auth modules for securing sensitive biometric and dietary data.
Real-time monitoring for user engagement spikes and database query health.
Reusable templates for fusing maps and custom nutritional data points at scale.
Optimized OpenCV wrappers for mobile-native image recognition and ingredient classification.
AI-automated grocery and meal planning eliminated the cognitive load of manual tracking.
Modular architecture allowed the platform to handle massive concurrent product lookups with zero degradation.
Service decoupling ensured that a spike in geolocation requests did not affect the core recommendation engine.
Client Testimonial
Coretus didn't just build an app; they engineered a personalized nutrition ecosystem that reconciled clinical dietary needs with our users' fast-paced realities. Our planning time dropped by 60% immediately.
CEO // Eating All Together LLC
Replace fragmented food logging with auditable AI ecosystems. We engineer zero-drift health pipelines for high-retention engagement—securing your HIPAA compliance while eliminating user friction.
HIPAA & SOC2 Aligned
Sub-Second Search Latency
100% IP & Model Ownership