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jaankari\nAn Android app that makes Information and entermainment accessible to phones in remote areas with low connectivity using Wifi P2P networks.\n\n\u003ca href=\"url\"\u003e\u003cimg src=\"http://i.imgur.com/9A6ORmA.png\"  height=\"400\" width=\"230\" \u003e\u003c/a\u003e\n\u003cbr\u003e\n\n## Overview\n\nJaankari lets you browse several categories of information such as **News, Videos, Weather, Commodity Prices, Health facts** and **Educational books**. \nIt intelligently downloads the relevant content for a user and provides a rich **offline experience**. \nThe omni search lets users search for all the information available on the servers even when they don't have the files or are offline. \nUnder the hood, it forms a **P2P network** over Wifi hotspot to let users fetch content from each other.\n\n## Architecture\n\nThe project has three major components:\n  1. **Recommendation System:**\n    *Built with the Apache Mahout Machine Learning library.*\n\n    Two different recommender systems were built each for Videos and Arcticles. \n    For Videos, rating on a scale of 5 was asked from user once he has viewed the video. \n    For articles, number of articles viewed by the user was used to compute the extent to which a user likes some article. \n\n  For experiencing more hits during searching, 2 step user-based **collaborative filtering** was used. \n  First, users interest for a particular category is computed by computing the interest of user for a particular category. \n  More articles should be recommended for the category user in more interested in. \n  Once the number of articles to be downloaded for a category is decided, using the user based similarity, most relavant articles/videos using the data of other users who have rated the items is recommended.\n\n  2. **Backend services on the server:** *Built on NodeJS and MySQL*\n  \n    The data is crawled from multiple sources such as **NDTV** for News, **Youtube** for Videos, **Facts for Life** for Health articles, **Open Weatherr** for weather information, **agmarknet.nic.in** for Commodity prices.\n\n  3. **The Android app** \n  \n    a. **User Interface:** The homescreen UI is a slick tiled menu of different categories. \nIt also includes a search bar that searches across the global database for News and articles. \nFor browsing articles, we use a cool flip animation. \nEach activity such as Videos, News etc. also has a Navigation Drawer assosiated with it to browse Popular, Recommended and History. \nWeather information is displayed dynamically on the weather tile.\n\n    b. **Wifi P2P Network:** We use a P2P network over Wifi hotspot to let users fetch content from each other. We preferred Wifi hostops over Bluetooth as they are **faster**, **consistent** and provide **multiple connections.**\n  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankeshanand%2Fjaankari","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fankeshanand%2Fjaankari","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fankeshanand%2Fjaankari/lists"}