Al-Based Intelligent Food Packaging Material Recommendation System for Food Commodities

Source summary

Build an AI-based decision-support application that recommends food-packaging materials and specifications from commodity properties and storage or transport requirements. Inputs include moisture, fat, pH, respiration rate, intended shelf life, temperature and humidity. Recommendations should cover material structure, film thickness, oxygen and water-vapour transmission, sealability, gas permeability, mechanical strength and suitability for modified-atmosphere packaging. Fresh produce requires explicit consideration of respiration, breathable or micro-perforated films and gas composition. Include sustainable alternatives; shelf-life prediction, cost analysis and QR traceability are optional additions. Intended users include food businesses, farmers, startups and researchers.