This is a Dynamic Webapp created in python with SQLite database.
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189.2 million individuals are undernourished in India. (source)
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Various organizations come forward to provide mid-day meals to children, but some may not organize their schedule for meals and this may lead to undernourished children or high cost per head.
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Adding money factor with a balanced diet helps organizations to utilize their donation properly, give more facilities and feed them for a long time without worrying about donations.
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Using ML models, the random spending on vegetables and groceries to fulfill the nutritional demand of children can be optimized. It reduces the time to make a list. Web app built with a Django framework integrates ML functionalities to provide a user-friendly solution.
- According to the United Nation’s Policy brief on the Impact of COVID-19 on Children, 368.5 million children in 143 countries who usually rely on meal programmes for reliable daily nutrition will face malnutrition.
- Before the pandemic - 1.8 million children undernourished in India every year.
- Situation more complicated - multiple stressors - COVID-19, impoverished economic status, loss of employment, poor and unhygienic living conditions, and lack of healthcare facilities.
- Are we prepared ?
- Backend: 100% python
- SQLite
- Dynamic web project
- VS code IDE
- Django Embedded server
- The same nutrient can be provided by many food items. The ML model would focus on helping organisations opt for products that would fulfil the nutritional requirements at minimum cost.
- The web app also updates the user with information like government entitlement norms per person, diet plans, nutritional values of vegetables etc.
