Spotle AI-thon - AI For Good Business Plan Showcase - Cummins College
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Food security in India is a critical issue, with 189.2 million people undernourished and a significant disparity in food distribution leading to hunger. To address this, an AI-governed app called 'fairfood' has been developed to facilitate efficient redistribution of surplus food from events to those in need. The app targets NGOs, orphanages, and other organizations to streamline food donation, ultimately aiming to reduce food waste and improve access for underprivileged communities.
Spotle AI-thon - AI For Good Business Plan Showcase - Cummins College
- 3. Food security is access to enough food by all people at all time for an active and healthy life. India is truly developing now and its income, infrastructure, per capita income has also developed . But the major problem faced by India is “the problem food management and it’s distribution”. The International food policy research institute (IFPR) classified the status of hunger into five category-low, moderate, serious, alarming and extremely alarming. India falls into the category of alarming. The most important aspect contributing to this development is the non availability of basic requirement of food. It has been observed that the consumption of food, in terms of nutrition and quantity, is lacking far behind. According to the study conducted by National Institute of Nutrition, the minimum per capita food grain required for an adult is 182.5kg/year whereas in India, the availability is only 173.6kg/year and as far as the protein requirement is concerned, the daily intake should be 50mg but the situation seems to remain stagnant, the per capita daily intake is only 10mg. The major contributor to food scarcity in India is lack of equal food distribution- the irony of surplus food being disposed off after grand parties and feasts in contrast to millions of children dying on the roadside due to malnourishment and starvation. To counter this issue and bring equal food-redistribution, we have developed an AI-governed app called 'FairFood', which enables efficient and dynamic food-distribution of the excess generated at events about to be disposed off and direct it towards the slum areas, NGOs and poor sections of the society. The app can predict things like food quantity versus the time available for redistribution and can make intelligent decisions to ensure a seamless process, thereby making the app practically usable and accessible for mass usage.
- 5. Problem Statement According to Food and Agriculture Organization, 'The State of Food Security and Nutrition in the World, 2020 report, 189.2 million people are undernourished in India. By this measure 14% of the population is undernourished in India. Also, 51.4% of women in reproductive age between 15 to 49 years are anaemic. Hunger is the major problem especially in developing countries like India. To develop a model for efficient and dynamic collection of data wastage points and direct the excess food to the deficit regions of the country to ensure equitable food distribution and optimal food and grain usage.
- 6. Solution Making donation of surplus food extremely time-efficient and seamless through our AI-governed app (tentatively named FairFood ) tackle two major problems-Wastage of food and hunger. This can be done by developing interface which will allow people with excess food from weddings, parties, corporate office canteens, restaurants, and other events to donate it to the needy people at the nearest possible location.
- 7. Prototype of our AI-governed ‘FairFood’ App
- 11. Target Audience and Market Size Anybody who wants to help the hungry people can install this App. But the major target audience are NGO's, Orphanages, Slum Areas, General Hospitals, Child Care, Shop Owners etc. Food Donor – They can enter the details of food such as address of pickup, quantity of food, date of preparation, time of preparation, expiry Date etc. Food Receiver - After entering his location address, he can find out where the food is available in the nearby locality. They can also accept the food by entering his name and pickup time.
- 12. Technology Used : • HTML • CSS • Javascript • React • Google Maps Javascript API • Google Geocode API • Android Mobile Application • Deep learning Neural Networks (CNN models) • Q-Learning model • AI-Android Integration interface setup
- 13. • Food donor and food receiver can login/signup to this app. • Donor organizations can make a food donation post (contact information, approx. quantity of food available , location, time available for clearing off the excess food etc.). • Recipient organizations/individuals can also make a food request post (contact information, approximate people, etc.). • Both the donors and recipients can view the lists of available food donors and recipients. • After a certain amount of time when the food donation is successfully completed, post entries are automatically deleted from both donor and recipient lists.
- 14. Revenue model Since we came up with the idea for the app under the theme AI for ‘Social good’, the app could be initially used free of cost to increase its reach and user database. It could then be gradually commercialized.
- 15. Impact Created Can potentially ensure equal food distribution by addressing a major issue with excess food disposal at events in contrast to having little food in poverty or famine afflicted regions. If executed with the right mindset, this app has the potential to reduce the food shortage and surplus balance, thereby bringing in balance in the economy.
- 16. Team Initially, it would require a maximum of 5 people to ensure smooth functioning of the app owing to its AI-governed nature. • A member who fixes bugs in the app • A member for receiving feedback and answering FAQs • A member for marketing of the app • A team manager • App designer