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darkmatter18 authored May 25, 2020
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# WhatsThere

![](https://github.com/darkmatter18/WhatsThere/workflows/Android%20CI/badge.svg)
[![GitHub Forks](https://img.shields.io/github/forks/darkmatter18/WhatsThere?style=flat-square)](https://github.com/darkmatter18/WhatsThere/network/members)
[![GitHub issues](https://img.shields.io/github/issues/darkmatter18/WhatsThere?style=flat-square)](https://github.com/darkmatter18/WhatsThere/issues)
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[![GitHub license](https://img.shields.io/github/license/darkmatter18/WhatsThere?style=flat-square)](https://github.com/darkmatter18/WhatsThere/blob/master/LICENSE)

<img src="./images/app_screen.png" alt="App Splash Screen" height="400"/>

An Android Application, which can `sence` and `classify` Real objects and can tell, what the object is.

The App is created on top of `Deep Learning` and `Aritificial Neural Networks`.
**`WhatsThere`** is a great example, that how `Artificial Inteligence` can do a lot of job without any Human interfare.

> Download the app from [**Here**](https://github.com/darkmatter18/WhatsThere/releases/download/1.2/WhatsThere-v1.2.apk)
## Features

[![Features](https://forthebadge.com/images/badges/for-you.svg)]()
[![](https://forthebadge.com/images/badges/its-not-a-lie-if-you-believe-it.svg)]()

1. The App can sence **1000** different kinds of objects, from `Keyborads` to `Dog Bread`
2. The App has a *Flash* On/Off button, so the app can see clearly at night.
3. The *Camera Focus* is automatically adjusted, so you don't have to bother to focus any object.

> Last but not least
4. The App is so **light weight** and can do it's job very precisely even in **VERY LOW SPECS Device**.

## Technology

[![Android](https://forthebadge.com/images/badges/built-for-android.svg)]()
[![PyTorch](https://img.shields.io/badge/Powered%20By-PyTorch-orange?style=for-the-badge&logo=pytorch)]()
[![JAVA](https://forthebadge.com/images/badges/made-with-java.svg)]()

- The App is created for and only for **`Android`**, `2 minutes of silence for other platforms`
- To power-up the Deepest Neural Network, the App uses **`PyTorch`**
- Written in *`Shuddh`* **`JAVA`**
- Uses [**`CameraX`**](https://developer.android.com/training/camerax) to Capture frames

## Neural Network

[![](https://img.shields.io/badge/Deep-Learning-brightgreen?style=for-the-badge&logo=pytorch)]()

- The App uses the pretrained `MobileNet-v2` model as it's classifier backend

<img src="./images/mobile_netV2.png" alt="Model Artitecture" height="450"/>

## Example Images

<img src="./images/app_example_1.png" alt="App Example 1" height="400"/>

## Maintainer

[![Relative date](https://img.shields.io/date/1590132490?color=important&label=started&logo=github&style=flat-square)](https://github.com/darkmatter18/) [![Maintenance](https://img.shields.io/maintenance/yes/2020?color=green&logo=github&style=flat-square)](https://github.com/darkmatter18/)

[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/0)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/0)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/1)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/1)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/2)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/2)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/3)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/3)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/4)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/4)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/5)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/5)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/6)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/6)[![](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/images/7)](https://sourcerer.io/fame/darkmatter18/darkmatter18/WhatsThere/links/7)
**[Arkadip Bhattacharya](https://www.linkedin.com/in/arkadip/)**

<a href="https://twitter.com/Arkadipb21"><img src="images/twitter.png" width="32px" height="32px"></a> <a href="https://www.facebook.com/arkadipb"><img src="images/facebook.png" width="32px" height="32px"></a> <a href="https://www.linkedin.com/in/arkadip/"><img src="images/linkedin.png" width="32px" height="32px"></a>

> ***Need help?***
***Feel free to contact me @ [[email protected]](mailto:[email protected]?Subject=Github:Udacity-Computer-Vision-Nanodegree-Repository)***

[![GitHub followers](https://img.shields.io/github/followers/darkmatter18?color=1e88e5&label=Follow%20%40darkmatter18&logo=github&style=flat-square)](https://github.com/darkmatter18/) [![Twitter Follow](https://img.shields.io/twitter/follow/Arkadipb21?color=1e88e5&logo=twitter&style=flat-square)](https://twitter.com/Arkadipb21)

[![LOVE](https://forthebadge.com/images/badges/built-with-love.svg)]()
[![FOR YOU](https://forthebadge.com/images/badges/for-you.svg)]()
[![BY DEVELOPERS](https://forthebadge.com/images/badges/built-by-developers.svg)]()

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