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Is there any API in Android SDK which should recognize an object and return the name of the object.
For general objects in 3D, that is an unsolved problem in computer vision right now. A lot of researchers are working on it, but right now computers cannot reliably identify that an arbitrary object they haven't seen before is a "chair", for example. (If you think about it, such labeling actually requires a lot of judgment and world knowledge to know what kinds of things humans can sit on, and that's beyond the current state of AI for objects in general.)
There are algorithms that basically do a Google Image Search: they take a given picture and use some fairly advanced computer vision to find similar-looking pictures on the web (i.e. Google Goggles). There are APIs for those; check out
Google goggles API
Those work well for 2D pictures, like posters and product logos, that always look exactly the same, but not for things like plants and animals.
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I'm about to propose a graduation project in Deep Learning for Arabic Natural Language Processing field. However, since I'm a beginner student in this field, I have already started learning a helpful series of courses, and I have almost a full year to work on this individual project. So, what are some great ideas for an Android application in DL for Arabic NLP?
P.S. I will gather the needed dataset if it's not available.
Edit: Recently, I read about various problems in this field, but most of them are very classic choices, and it seems to me that they don't give a good impression of my efforts while there exist many well-known and very efficient similar applications such as Google translate and Siri. However, Since my question is still too broad, kindly write down your suggested edits and recommendations.
NLP is a broad area and have lots of application. And you will also need the supporting applications(web pages, editor, reviews in arabic). I will give some ideas and try order them easy to difficult.
Spell check
Sentiment analysis App - read reviews(movie/restaurant etc ) and rate them(provided you have data (sentence / +/- ))
FAQ from websites - given a question extract answers from FAQ of the website, we can NER to get organisation name and question similarity measure.
Grammar correction - require lots of data(wrong - correct sentences) and editor app to use it in android.
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I'm working on an Android app (though eventually I'll want to do the same thing on iOS) and I'm looking to build an image recognition feature into it. The user would snap a picture, then this component of the app would need to figure out what that image is, whether it's a bowling ball, a salad, a book, you name it. It would also be helpful if it could figure out roughly how big the object in question is, though I imagine the camera focus values could help with that. The objects in question would not be moving.
I've heard of neural networks being used, but I'm not sure how this could be implemented, especially since I want to be able to recognize a very wide range of objects. I highly doubt this sort of processing could happen natively on a phone either. What are some solutions to this problem?
I would suggest you look at OpenCV. They have an awesome open source library for image processing and object detection. They also have great Android sample apps ready for testing some of their APIs.
http://opencv.org/platforms/android.html
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Companies like Google and Garmin have a database of all speed limits of each road that they use on their GPS software. I would like to access and use this information. How would I go about doing that?
These companies either purchased, licensed or built their own map data, of which this information is part.
You might have some success with OpenStreetMap. YMMV.
Google has an API for road data. See this link: https://developers.google.com/maps/documentation/roads/speed-limits
I don't find it very accurate. Speed limit data can be updated via their Map Maker tool. Some of it may be gleaned off of the street view cameras, but not 100% sure that is how they collect it.
I'm also interested in learning Garmin's source for the data. I hear it is just as bad. Does Garmin have a similar API?
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I know how to design and develop android application which works offline.But now i want to move towards dynamic android app,which works totally online like facebook,quora,newshunt.Where should i start please give me a way.
Thanks
I personally am completely self-taught when it comes to android, and, well, its been a journey.
For me, a big turning point was
"http://www.androidhive.info/2012/05/how-to-connect-android-with-php-mysql/"
It really gives you a good idea of what it takes to create an app that is connected to the internet, and it isn't hard to implement yourself. Mind you, before, you were working with just android, but once you integrate network connectivity and a server backend, the levels of complexity multiply.
If you're a solo-developer, just getting started, the Google App Engine does a pretty good job of making everything very easy to use, so I might recommend that. It has a free trial of all their cloud services which is $300 for 2 months.
https://cloud.google.com/appengine
Amazon AWS also is attempting to create a similar system, but they are seemingly geared to more enterprise-level operations.
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I'm making an android app in Eclipse and i want to record my voice, which will be password for login into application. When i try to log in it should recognize my password and let me use the application. How can i do that comparison in order to get a match, i need something like shazam? Thanks for any tips!
Audio comparisons is a very complex topic. Generally, if you don't know anything about it, I'd discourage you to head into such a project.
The problem is, that while you could of course just compare the two audio files byte by byte, that certainly is not what you want. Although two audio files sound the same, i.e. it contains the same spoken words, the actual data will differ quite a bit.
You'd have the following possibilities:
Try to recognize what the user said (Speech recognition), and check whether the same word was recognized later. This solution, while being the simplest, could not distinguish between different users.
Dive into the mysterious world of audio processing. A technology called Fast Fourier Transformation is more specifically what you'll be ending up dealing with.