In today's fast-paced world, maintaining a balanced diet poses significant challenges, especially for individuals with chronic illnesses and the elderly. These groups face unique obstacles in navigating nutrition and health management. For those with chronic conditions, understanding and adhering to specific dietary requirements is crucial. Understanding complex food labels, tracking nutritional intake, and managing restrictions can be overwhelming. Elderly individuals may struggle with additional problems such as reduced mobility or cognitive decline. The lack of accessible, personalized nutrition guidance hinders their ability to achieve their health goals. Many find themselves lost in conflicting information, unsure how to adapt dietary advice to their specific needs. Moreover, the goal of sustainable and healthier eating adds another layer of complexity. A critical factor is the lack of community support and resources specifically designed for these groups. Many feel isolated in their dietary struggles, without access to peer support or expert guidance. Additionally, elderly individuals often struggle with technology, finding complex websites challenging to navigate.
A website that offers multiple product information access methods, including barcode scanning and manual input, providing simplified details like ingredients, nutrition facts, and personalized health tags. Users can create shopping lists, mark favorites, and view nutrition summaries. Tailored recommendations are based on comprehensive user profiles. The website includes educational resources on sustainability and health benefits, an intelligent shopping list categorizing items by sustainability, and a smart notification system for personalized motivation. An advanced chatbot offers real-time sustainability information and guidance
NLP via Python's Library spacy
OpenFoodFacts API for barcode lookup
SQLite3 for storing data in databases
Various Python libraries such as requests, os, hashlib, numpy, etc.