Claims:We claim:
1) A system for preventing food wastage using artificial intelligence comprising of;
a. Registering of the user with the database of the website;
b. Collecting the food data of the user’s function;
c. Identifying and utilizing the patterns of a customer’s dining choices and location to link them to other restaurants of interest;
d. Analyzing the food quality and number of persons based on computer touch application;
Wherein the said previous data is analyzed for how much food goes to waste, how much a product gets to sell, machine learning can build a better demand forecasting and the analyzer analyzes weight analysis, size analysis, bar code scanning, color analysis among other advanced features supporting easy discovery of defects and auto-grading of the commodities as a whole.
2) The system as claimed in claim 1, wherein the said system for Identifying and utilizing the patterns of a customer’s dining choices is based on variety of inputs like past orders, as well as contextual information such as calendar appointments, location, and caloric intake for the day and the amount of exercise a person had.
3) The system as claimed in claim 1, wherein the said system take a stab at restaurant by analyzing past behavior and using inputs such as various check-ins they’ve had on social networks.
, Description:FIELD OF THE INVENTION:
The present invention relates to food wastage. The present invention more particularly relates to a system for preventing food wastage.
BACKGROUND OF THE INVENTION:
Food waste or food loss is that which is left uneaten or discarded. Food loss is not only at the end of the chain but also at the beginning at the time of production, processing, retailing and consumption. Weddings and banquets are a huge source of food wastage, but restaurants and hotels also contribute to food wastage, though the awareness about food wastage has grown in the last five years. While some restaurants in India employ food controllers to check food spoilage, others donate it to their staff and other personnel, and smaller standalone restaurants, donate it to orphanages and reuse non-perishable food.
However, around 40% of the food produced gets wasted even before it reaches your plate. According to him, of every 10 grains, 6 never reach a home, due to poor transportation, storage and other steps in the supply chain process. Food loss and food wastage can increase the risk of hunger/food insecurity. It results in the emission of methane, a greenhouse gas, from the landfills, and also contributes to food inflation.
There are harmful results of not curbing food waste. Food wastage has severe effects on the environment. If dumped in the landfill, it releases a greenhouse gas; methane. When the food degrades further it produces gases that are 25 times more harmful than carbon dioxide being trapped in the atmosphere.
It results in global warming and harmful for climate change and ultimately for the planet Earth. Our resources of food require to be saved and food is an important resource for the survival of living beings. It get discarded in the production process, in the distribution center, or during household consumption. From the moment food is produced until it is consumed, food is extensively wasted throughout its lifecycle.
Even though millions of people are starving every year. The government of India in 2008 initiated the establishment of Food parks to check the food wastage across supply chain. Food parks provide a direct linkage from the farm to processing to markets. A private member bill named Marriages (Compulsory Registration and Prevention of Wasteful Expenditure) Bill, 2016 is seeking to put a cap on wedding expenditure through which the food waste control can be controlled to some amount at weddings.
In developing countries, food waste and loss occurs at early stages of the food value chain. This can be associated with lack of support to farmers, poor/non-scientific harvesting techniques, weak infrastructure, storage, cooling and transport facilities. In developed countries, food waste and loss occurs largely at retail and consumer stages.
To address the problem of food loss and waste globally, the Sustainable Development Goal (SDG) 12.3 aims to halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses.
In terms of economic impacts, food waste represents high waste management costs and money wasted. Wasting food also raises social questions, particularly given the current global financial crisis, rising food prices and international food shortages.
Another common reason for food waste is poor and inefficient food supply chain management. Many times, without checking the quality of the food, it is packed and distributed to the retailers. Retailers, without knowing this issue, fill their shelves with low-quality products. There is a high likelihood of such food getting wasted.
So there is a need for a system for controlling food wastage through using artificial intelligence which can reduce the amount of food wastage by analyzing the previous data of food taken and how much food goes to waste , how much a product gets to sell, how machine learning build a better demand forecasting. The present invention helps supermarket owners to order items at an adequate level. The present invention prevents such food wastage and checks the food quality before reaching to consumer and autonomously monitor, analyze and assess the quality of food.
OBJECTS OF THE INVENTION:
An object of the present invention is to provide a system for controlling food wastage through using artificial intelligence.
Another object of the present invention is to provide a system for preventing food waste and to provide an awareness among individuals and prevent all the health implications.
Yet another object of the present invention is to save the thrown away the data of food most of the times and will help in reducing the supply of such food items and to prevent decay of leftovers and consumers food and to reduce the food extent.
Other objects and benefits of the present invention will be more apparent from the following description, which is not intended to bind the scope of the present invention.
SUMMARY OF THE INVENTION:
Accordingly, a system for a system for controlling food wastage through using artificial intelligence is disclosed. A system for preventing food wastage using artificial intelligence comprising of;
a. Registering of the user with the database of the website;
b. Collecting the food data of the user’s function;
c. Identifying and utilizing the patterns of a customer’s dining choices and location to link them to other restaurants of interest;
d. Analyzing the food quality and number of persons based on computer touch application;
Wherein the said previous data is analyzed for how much food goes to waste, how much a product gets to sell, machine learning can build a better demand forecasting and the analyzer analyzes weight analysis, size analysis, bar code scanning, color analysis among other advanced features supporting easy discovery of defects and auto-grading of the commodities as a whole.
DESCRIPTION OF THE DRAWINGS:
Fig 1 is the flowchart for system for preventing food wastage through artificial intelligence.
DETAILED DESCRIPTION OF THE INVENTION WITH RESPECT TO DRAWINGS:
The present invention provides a system for preventing food wastage through artificial intelligence. The present invention provides an awareness among individuals and prevent all the health implications. The present invention helps in inspecting the quality of food and help in giving in personalized cooking guidance for people.
The present invention helps in efficient planning and gives online food-ordering companies to carry out their planning activities in a more systematic way. Logistics is improved using AI like, the time of every delivery agent needs to be optimized by selecting the right route for delivery to ensure their constant movement and break time and provides the best route to the nearest delivery agent and for making better lists for the consumers to select from. Consumers are also assisted in optimizing how they place their orders. This data is being fed again to the database of the website.
In one embodiment, the present invention collects previous data how much food goes to waste, how much a product gets to sell, machine learning can build a better demand forecasting. It would help supermarket owners to order items at an adequate level. AI-based modeling engine to anticipate customer needs based on variety of inputs. These could include past orders, as well as contextual information such as calendar appointments, location, and caloric intake for the day and the amount of exercise a person has had. This information is obtained it from personal electronic devices such as smartphones, wearables, and personal computers. The system can take a stab at what restaurant a person would want to order from that night by analyzing past behavior and using inputs such as various check-ins they’ve had on social networks.
In another embodiment, Artificial intelligence applications have allowed the food service organizations by forecasting the demand, detecting the quality and analyzing the thrown food with the help of human resources which brought the need for Artificial Intelligence in food safety.
For eg: A retail shop having a wide range of food items has to be replenished whenever the need arises. If the stock is filled before the food items are still unsold, the chances of pest attacks become higher. One of the many reasons for this is improper food stock monitoring and prediction. Using AI can make this process quick and efficient. By entering historical details on food stock outs, food that previously got wasted, and real-time shelf information, AI tools can come up with accurate predictions. This way, retailers can get a clear comprehension of when a particular food item will be out of stock. With accurate information, retailers can then order only the required quantities of food items.
Through the use of the recommendation engine, customers are matched with entrees and dining experiences that correspond with their pre-selected taste profile and specifications. The present invention identifies and utilizes the patterns of a customer’s dining choices and location to link them to other restaurants of interest. AI is helping to distinguish between vegetarian and non-vegetarian dishes. The use of natural language processing (NLP) is helping the firm to serve wider geographic boundaries without considering any linguistic barriers. This helps the firm to search by using some popular terms that the customers might use for obtaining accurate results. AI also gives a customized interface for their customers based on their specific needs.
In another embodiment, A system for preventing food wastage using artificial intelligence comprising of;
e. Registering of the user with the database of the website;
f. Collecting the food data of the user’s function;
g. Identifying and utilizing the patterns of a customer’s dining choices and location to link them to other restaurants of interest;
h. Analyzing the food quality and number of persons based on computer touch application;
Wherein the said previous data is analyzed for how much food goes to waste, how much a product gets to sell, machine learning can build a better demand forecasting and the analyzer analyzes weight analysis, size analysis, bar code scanning, color analysis among other advanced features supporting easy discovery of defects and auto-grading of the commodities as a whole.