Food waste is one of the key international problems that influences millions of people all over the world. According to the data, one third of the global food production is wasted or lost yearly, while paradoxically 815 million people global do not have access to sufficient and nutritious food so finding an effective solution to ensure sustainable resource reallocation is very necessary. This thesis presents a novel approach to track food redistribution using HTML web development and the MongoDB framework. The proposed system aims to facilitate the efficient redistribution of surplus food from food suppliers to NPO (Nonprofit Organizations) and individuals in need. The developed web application leverages HTML, CSS, and JavaScript to create an intuitive user interface for various stakeholders involved in the food redistribution process. It enables food donors, recipients, and intermediaries to interact with the system, thereby facilitating seamless communication and coordination. Food suppliers can update their surplus inventory, specifying details such as quantity, expiration dates, and storage conditions. Meanwhile, recipients can browse and request available food items based on their specific needs and maybe geographical location. To ensure secure and reliable data management, MongoDB's document-oriented structure (NoSQL) is utilized, enabling efficient storage and retrieval of food-related information. The system's advanced search capabilities allow recipients to filter available food items based on descriptions, categories etc. In order to have a better user experience or user-friendly, it is feasible to edit the data just from the HTML page and it will also be updated in database at the same time. Overall, this thesis presents a comprehensive framework for food redistribution tracking through HTML web development and the MongoDB database. The proposed system has the potential to significantly contribute to the reduction of food waste while ensuring that surplus food reaches those in need efficiently and effectively.
Lo spreco alimentare è uno dei principali problemi internazionali che colpisce milioni di persone in tutto il mondo. Secondo i dati, un terzo della produzione alimentare globale viene sprecata o persa ogni anno, mentre paradossalmente 815 milioni di persone nel mondo non hanno accesso a cibo sufficiente e nutriente, quindi è assolutamente necessario trovare una soluzione efficace per garantire una riallocazione sostenibile delle risorse. Questa tesi presenta un nuovo approccio per tenere traccia della ridistribuzione del cibo utilizzando lo sviluppo Web HTML e il framework MongoDB. Il sistema proposto mira a facilitare l'efficiente ridistribuzione delle eccedenze alimentari dai fornitori di cibo alle ONLUS (organizzazioni senza scopo di lucro) e alle persone bisognose. L'applicazione web sviluppata sfrutta HTML, CSS e JavaScript per creare un'interfaccia utente intuitiva per le varie parti coinvolte nel processo di ridistribuzione del cibo. Consente ai donatori, ai destinatari e agli intermediari di cibo di interagire con il sistema, facilitando così la comunicazione e il coordinamento senza soluzione di continuità. I fornitori di generi alimentari possono aggiornare il loro inventario in eccedenza, specificando dettagli come quantità, date di scadenza e condizioni di conservazione. Nel frattempo, i destinatari possono sfogliare e richiedere gli alimenti disponibili in base alle loro esigenze specifiche e forse alla posizione geografica. Per garantire una gestione dei dati sicura e affidabile, viene utilizzata la struttura orientata ai documenti (NoSQL) di MongoDB, che consente l'archiviazione e il recupero efficienti delle informazioni relative agli alimenti. Le funzionalità di ricerca avanzata del forniscono un quadro completo della situazione in tempo reale. Nel complesso, questa tesi presenta un quadro completo per il monitoraggio della ridistribuzione del cibo. Il sistema proposto ha il potenziale per contribuire in modo significativo alla riduzione degli sprechi alimentari, garantendo che le eccedenze alimentari raggiungano i bisognosi in modo efficiente ed efficace.
Cloud based platform for food redistribution tracking and nutritional analysis
HAO, PUGUANG
2022/2023
Abstract
Food waste is one of the key international problems that influences millions of people all over the world. According to the data, one third of the global food production is wasted or lost yearly, while paradoxically 815 million people global do not have access to sufficient and nutritious food so finding an effective solution to ensure sustainable resource reallocation is very necessary. This thesis presents a novel approach to track food redistribution using HTML web development and the MongoDB framework. The proposed system aims to facilitate the efficient redistribution of surplus food from food suppliers to NPO (Nonprofit Organizations) and individuals in need. The developed web application leverages HTML, CSS, and JavaScript to create an intuitive user interface for various stakeholders involved in the food redistribution process. It enables food donors, recipients, and intermediaries to interact with the system, thereby facilitating seamless communication and coordination. Food suppliers can update their surplus inventory, specifying details such as quantity, expiration dates, and storage conditions. Meanwhile, recipients can browse and request available food items based on their specific needs and maybe geographical location. To ensure secure and reliable data management, MongoDB's document-oriented structure (NoSQL) is utilized, enabling efficient storage and retrieval of food-related information. The system's advanced search capabilities allow recipients to filter available food items based on descriptions, categories etc. In order to have a better user experience or user-friendly, it is feasible to edit the data just from the HTML page and it will also be updated in database at the same time. Overall, this thesis presents a comprehensive framework for food redistribution tracking through HTML web development and the MongoDB database. The proposed system has the potential to significantly contribute to the reduction of food waste while ensuring that surplus food reaches those in need efficiently and effectively.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/211670