Just having a meal isn't enough , taking right meal for your body and making nutritional good choices is important. With " Feed India " we aim to improve India's Hunger Index ranking and hence reducing child wastage and stunting by making people aware of their nutrition intake. Through our app we can start making informed choices, take nutritionist suggestions, bridge the gap in your diet, and nourish your body with the nutrients it deserves.
In the latest Hunger Index Report India was categorised with severity of hunger as serious. While the rate of undernourishment in India stood at 16.6 percent and under-five mortality at 3.1 percent, the prevalence of anemia in women aged between 15 and 24 years stood at 58.1 percent. Though this report has been rejected by GOI, child undernourishment and ignorance of food nutritional values and proper diet planning of pregnant women is still widely prevailing in our country. Thus we came up with the Feed India project to solve this crisis.
Calorie Snap
Nutri Tracker
Food Encyclopedia
Pantry Locator
Articles
Nutritionist
Below is an example of how you can instruct your audience on installing and setting up your app. This project doesn't rely on any external dependencies or services.
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Clone the repo
git clone https://github.com/Pranshu321/FeedIndia.git
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Now install all npm packages.
npm i
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Now you have to define own firebase project config at
src/firebase.js
.
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Download the pretrained model_weights from the drive link given and save the folder here
Backend\Calorie_Snap\indian_food_image_detection
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Go to the specified folder of
app.py
, which is here asBackend\Calorie_Snap\app.py
, then start the server.uvicorn app:app --reload
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Go to the
Backend\knowYourfood\app.py
and start the server similarly on a different portuvicorn app:app --reload
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After all steps defined above you can run the command
npm start
to run the application atlocalhost:3000
.
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Frontend frameworks :
React
,Tailwind CSS
,react-router-dom
,react-hot-toast
,Daisy UI
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Authenciation :
Firebase-Auth
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Database and storage:
Firestore
,App Script
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Services :
Food data API
,Kaggle Notebooks
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Deployment :
Netlify
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ML frameworks :
Hugging Face
,Pytorch
,Google VIT Image Classification
,pandas
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Model Backend :
FastAPI
,Uvicorn
Leader - Pranshu Jain
Member 2 - Sreetama Ghosh Hazra
Web APP : EatFit
Video Link : Demo Video