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Because multiple API calls were needed to complete our project, we learned how to effectively and safely process these calls on multiple threads.

This was our first time using Twilio API and many of the feature search medhods. We came into this hackathon with an idea and absolutely no work done, so we are the most proud that we were able to divide the work to suit our individual strengths and create a functional and well rounded project. On top of the core web browsing functionality, we are proud that we were able to integrate several features that are useful for everyone. Each of our team members has relied on the internet in different ways to enhance our education and we truly believe that everyone deserves an affordable and reliable internet connection regardless of background. We are extremely proud that we successfully created a project with real world implications. Lastly, we had to deal with several web hosting outages and WiFi restrictions on our server, but we eventually created a reliable connection between front end SMS app and backend Azure server. We ran into another problem when attempting to access these locally stored PNG images in the backend Azure server, but we solved this problem by hosting the image. To solve this, we combined Bing Search API with a web screenshot API to save a local image. While text-based SMS send/return was fairly straightforward, we ran into several challenges when sending images of the web page as a response. We used multiple artificial intelligence based natural language processing algorithms to analyze the key words of queries and sentiment analysis of the top articles to display only accurate and positive web pages to the user. For the web images, we used Bing Search to query the users search parameters and an web screenshot API to save this image, where the returned PNG image is saved locally and sent back to the user via MMS image. We created our own custom natural language processing chatbot to prompt the user with followup questions. Based on user requests and parameters, various search methods are used to collect the information and our processing algorithm formats the return JSON into a return SMS based on user preference. All information collected from the user is processed by our text parsing algorithms to find the best way to communicate with the user. We used the Twilio API to receive and send SMS messages from the user through our express node.js script running on the Azure backend. Restaurant recommendations via Yelp Business Search.Stock information via Wall Street Journal.Web search via Bing Search and Microsoft Cognitive Text Analytics.For users who cannot afford data plans and do not have reliable WiFi access, Textify provides the invaluable asset to the world's largest source of information. For users who are roaming, cannot get a reliable internet connection, or are on an airplane offering only SMS service, Textify offers a quick and efficient way to access and navigate through the internet. Textify offers the 11 core features that gives the user text, image, and URL based internet access.

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Statistics show that 6 billion SMS messages are sent each day and we imagined a way to access the internet and even view full webpages simply by sending SMS message, requiring absolutely no data or WiFi connection.

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However, while data can cost as much as $75 a gigabyte in these countries, cheap and even free SMS plans are widely accessable.

However, for many students seeking an education in poorer countries, their access to internet is limited by steep mobile data prices and scarce WiFi access. In an era where the exchange of data holds an infinite value, it is crucial for everyone to be afforded the opportunity and resources necessary to succeed. There is nothing more important than an education, and with our ever increasing network of information on the internet, students have the most valuable tool ever known to mankind at their fingertips.

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