Validation and effectiveness of Ai- Driven Food Image Analysis for Nutrient Estimation and Dietary Monitoring

A Technology-Driven Approach to Dietary Monitoring: Validation Support, and Effectiveness Assessment for Nutrient Estimation via AI-powered Food Image Analysis - NIL

Status

Active, not recruiting

Phases

Phase 1Phase 2

Study type

Interventional

Source

CTRI

Registry ID

CTRI/2025/10/095791

Enrollment

100

Registered

2025-10-09

Start date

Unknown

Completion date

Unknown

Last updated

2025-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Mobile based application: Mobile based Ai-powered nutrition tracking application developed by Dure technologies in collaboration with MAHE, Manipal. The application will capture the foo

Eligibility

Inclusion criteria

Inclusion criteria: Willing to provide consent and participate for the full study duration.

Exclusion criteria

Exclusion criteria: Diagnosed with metabolic/medical condition that requires specific dietary intake. Regular users of other nutrition tracking or health-monitoring apps. Currently participating in another similar study.

Design outcomes

Primary

Measure	Time frame
Validation of developed AI-powered nutrition appTimepoint: baseline	—

Secondary

Measure	Time frame
NILTimepoint: NIL	—

Countries

India

Contacts

Public ContactRosemin Shaji Joseph

Prasanna School of Public Health

cherian.varghese@manipal.edu8281458226

Outcome results