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<img src="https://user-images.githubusercontent.com/48657780/175860913-cad6770a-6378-46f0-836a-e2c11dcd0430.png"/>
</p>

# Careium
An android application to help you have a healthy life. Track your food, ingredients, and nutrients.
# Careium-AI

&nbsp; &nbsp; &nbsp; &nbsp; At this extreme moment, we began working from home, away from campus,
and keeping social distance from as many people as possible. As we stay home and
stick with the foods that have been in our fridge, we are temporarily living a
sedentary lifestyle with increased odds of physical inactivity, excessive eating and
sitting, stress, anxiety, and depression. Many of us will gain some weight during
the pandemic and may keep the extra weight permanently, which may carry
considerable health risks for type 2 diabetes, hypertension, heart attack, stroke, and
other health problems. This is where the importance of **Careium Artificial
Intelligence (AI) Food Tracker** comes in.

&nbsp; &nbsp; &nbsp; &nbsp; Accordingly, the **Careium-AI Food Tracker** (Android) application helps
diabetes, liver patients, and those who want to track their health throughout the day
through daily meals by calculating the calories and minerals per each meal by
taking a picture of the meal, and the application detects the food type and analyzes
its calories and minerals. Also, the application follows up gaining or losing weight,
or even avoiding some food due to allergies. That is achieved using Deep Learning
and Image Processing.

&nbsp; &nbsp; &nbsp; &nbsp; **Careium-AI Food Tracker** shows astonishing results compared to what
was expected for a simple use case example. Capturing the food plate, long dish,
deep dish or even scattered amount of food, Careium can still segment the food
region, process it and predicts the main five **nutrition components** *<ins>(Calories,
Mass, Fat, Carbs, Proteins)</ins>*. Calories are measured in `cal`, all others are measured
in `grams`. It can be used in **classifying** a mixed dish of food into multiple food
categories, generating food eaten **reports** periodically, **recommending** a proper
meal from a set of different available meals in a given dataset and giving **alarms**
for each mealtime.

<img src="https://user-images.githubusercontent.com/48657780/175862136-a5da5362-0531-4785-9cbf-14fc4f18bbe9.png" align="right" width="25%" height="60%"></img>

### Features
## 🥣 Features

<div style="display:flex;">

- meals alarm
- register and login
- capture food photo
- view and edit profile
- daily and weekly reports
- know the food ingredients
- know the nutrients (calories, fat, carb, protein).

- Providing Weekly Reports
- Meals' Time Alarm
- Capturing an image of the eaten food plate
- Recognizing the food ingredients
- Predicting the food nutrients (calories, fats, carbs, proteins)
- Other User Profile Manipulations e.g. (profile viewing/editing, login/register authentication, etc...)

</div>

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

<h3> :book: Inception-v3</h2>
## 📋 Background

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

<h3> :clipboard: Execution Instruction</h2>
## 📐 Architecture

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

### Contributors ✨
## 💻 Development <!-- Code Snipets & Database & Models -->

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

## 📱 Design

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

## 🔌 Testing

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

## 📖 User Manual <!-- Installation Guide & Getting Started -->

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

### 💡 Conclusion

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

### ✨ Contributors

Credits and Thanks go to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

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<h3> :books: References</h2>

![-----------------------------------------------------](https://raw.githubusercontent.com/andreasbm/readme/master/assets/lines/rainbow.png)

### ©️ Copyrights
- KAN Org.
- FCIS, University of Ain Shams, Egypt

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