One of the main challenges during a pandemic is the supply of food from the producers to consumers. To ensure the safe transport of food, achieving a low density of food transport vehicles on the road by alerting the distributors or drivers about the present situation based on real-time data of various factors is considered as one of the solutions.
The working of the project:
Our service is considered to be provided as a mobile app and also as a web platform. TransportF takes the kind of food item that is being transported, the location to which it is being transported, and the date on which they wish to transport the food as inputs from the user and suggests few time slots during when it is safe to transport the food without being exposed to COVID-19/ any other pandemic. These suggestions of time slots for safe transport are evaluated based on a few parameters and they are:
Food is one of the three basic necessities (food, shelter, and clothing) for human survival. The very worriment of getting food on our plates has been enhanced by this unprecedented pandemic. This inspired us to eliminate the obstacle that is bothering food supply and achieve an efficient way of the distribution of food in the hotspots of the pandemic. We, as a team, gathered all the problems persisting in the food industry during this pandemic and choose to work on its transportation sector. We have considered the resources provided by NASA and also used two external sources called CoronaTab to obtain the real-time data of the region-wise number of COVID cases and OpenWeatherMap to obtain the weather data. We, currently, are planning to use the web platform to deploy our service as a website using various web development tools like Nodejs, HTML, and JS, and soon as a mobile application. One of the main tools we have used is NASA'S EARTHDATA SEARCH to obtain the population density data and nighttime light data. We have also used "draw.io" as a tool to draw our initial flowchart draft of the phase-1 of the project. Few problems we faced while developing this project are on how to determine the controlling mechanism for the safe transport of the food distribution vehicles and to see that there isn't any overlay of more vehicles in a single route. This challenge was solved by introducing a concept of time slots i.e. a controlled movement of food vehicles in specific periods based on a few parameters as mentioned in the working. We also expect that this would be more efficient and stringent with the co-operation of the government to verify the control of the movement of vehicles that transport food during this pandemic.
Screenshots of the demo TransportF website along with the flowchart of the transportation of food : Slides
Global COVID-19 data:https://github.com/PotentialWeb/CoronaTab, API used: https://api.coronatab.app
Weather API: https://openweathermap.org/api