BodyDecoder is an AI-powered mobile-health platform that predicts dietary nutrient deficiencies, excesses, and related health risks from routine food-intake data. Using supervised machine-learning models and explainable-AI techniques, the system classifies each nutrient as Deficient, Normal, or Excess and issues personalised recommendations with clear justifications.
Research Area:-
- Nutrient Deficiency Forecasting and Risk Classification
- Explainable Artificial Intelligence (XAI) in Healthcare Decision Support
- Clinical Nutrition Informatics and Dietary Pattern Analysis
- Electronic Health Record (EHR) Integration and Nutrition Risk Screening
- Diagnostic Decision Support Systems (DDSS) for Preventive Nutrition
- Secure mHealth and Edge-AI Architectures for Public Health Deployment
- Federated AI and Privacy-Preserving Data Aggregation in Nutrition Surveillance
- AI Integration with Indian Nutrient Databank (INDB 2024), ICMR-NIN RDA Frameworks
Team / Leads
Sharvesh Adityaji M B
Innovator & Co-Principle Investigator
Shalink & ReyX Infinity Research Hub Pvt. Ltd.
Highlights / Description (Accurate, Referenced):
Novelty:
Develops a mobile-based AI system that combines nutrient intake analysis, deficiency risk classification, and meal planning using validated Indian food and nutrition datasets. The platform integrates machine learning with explainable AI (XAI) to provide personalized nutrition guidance and public health analytics.
Key Features:-
- Uses validated Indian Nutrient Databank (INDB 2024) and ICMR-NIN RDA guidelines for analysis.
- Applies XGBoost and Decision Tree models to classify nutrient status as Deficient, Adequate, or Excess.
- Genetic Algorithm engine generates AI-optimized meal plans based on individual needs.
- Multi-mode input: manual entry, dropdown food selection, and image-based recognition.
- Explainable AI module enables transparent output for users and clinicians.
Advantages:-
- Aligns with national health priorities:
- 57% of Indian women (15–49 yrs) suffer from iron-deficiency anemia (NFHS-5, 2021).
- Vitamin A and D deficiencies remain prevalent in urban youth and rural communities (ICMR, 2020).
- AI engine enables early detection before clinical symptoms, supporting preventive care.
- Designed for deployment in hospitals, schools, Anganwadi centers, and government health missions (e.g., Poshan Abhiyaan).
Practical Benefits:-
- Multi-language support (English, Hindi, Tamil, Telugu – Phase 1).
- Follows India’s DISHA and PDP Bill for data privacy, consent, and ethical AI use.
- Scalable across rural and tribal health settings with integration plans for public health dashboards.
