Navigating the Nutritional Maze A Case for the Food Insight Scanner for Personalized Health

A growing number of food allergies and diet-related non-communicable diseases are causing India to face a rapidly worsening public health crisis. Concurrently, food labeling systems governed by the Food Safety and Standards Authority of India (FSSAI) continue to be complicated, unclear, and frequently deceptive, leading to widespread consumer confusion and health hazards. This study looks at the shortcomings of India's current food information ecosystem, such as poor consumer understanding, false health claims, and misinformation motivated by marketing. There are significant financial, social, and human costs associated with these failures.
An analysis of the digital health ecosystem in India reveals a disjointed market where current applications are unable to incorporate trustworthy data collection, customized health profiling, and nutritional assessment tailored to India. The Food Insight Scanner for Personalized Health, a mobile-based system that combines Optical Character Recognition (OCR), a multi-source Indian food database, and an AI-driven health engine, is proposed in this study as a solution to this gap. The system creates warnings specific to allergies and diseases, assesses dietary suitability based on individual health profiles, and transforms food label data into a customized "Good for You" score. The proposed framework seeks to improve consumer transparency, lower health risks associated with diet, and advance better public health outcomes throughout India.

Personalized Nutrition, Food Label Transparency, OCR, Digital Health, Indian Food Ecosystem, Public Health

1. https://integrishealth.org/resources/on-your-health/2018/june/signs-you-might-have-a-food-allergy [Google Scholar] [Crossref]

2. https://allergyasthmanetwork.org/anaphylaxis/ [Google Scholar] [Crossref]

3. https://www.indiatoday.in/india/north/story/food-regulator-begins-prosecution-of-leading-health-products-india-today-122768-2012-11-28 [Google Scholar] [Crossref]

4. https://news.biharprabha.com/2015/05/beware-eating-2-minute-maggi-noodles-can-ruin-your-nervous-system/#google_vignette [Google Scholar] [Crossref]

5. https://www.indiatoday.in/business/story/nestle-unhealthy-food-controversy-looking-back-at-the-maggi-noodles-crisis-in-india-1810003-2021-06-02 [Google Scholar] [Crossref]

• A Machine Learning Model for Predicting the Risk of Developing Diabetes - T2DM Using Real-World Data from Kilifi, Kenya
• AI-Powered Facial Recognition Attendance System Using Deep Learning and Computer Vision
• A Comprehensive Review on Brain Tumour Segmentation Using Deep Learning Approach
• A Scalable Retrieval-Augmented Generation Pipeline for Domain-Specific Knowledge Applications
• Predictive Maintenance in Semiconductor Manufacturing Using Machine Learning on Imbalanced Dataset