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Machine learning system website similar to Akinator

$30-250 USD

クローズ
投稿日: 7年以上前

$30-250 USD

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Summary: Machine learning system website with Question and Answers front-end to find the best match on a Dataset - pretty much similar to sites like Akinator and Identifont. First, let's set up I'm naming: Information 1) "Answer": the answer to the questions 2) "Match": the matched Data based on given "answers". 3) "Data": All the Data which the system will look for a match(es). Users: 1) "Admin": Who manages all site 2) "Network": Inner network to relate with Data 3) "Visitor": Who use Question and Answers to find best match. Expected features: Front end (for Visitors users): - Question should have specific alternative choices with thumbnails. It should include "Not sure" option. (Similar to [login to view URL]) - Matches are suggested on demand ordered by popularity (Similar to [login to view URL]) - Back button to fix wrong given answer (Similar to Akinator/ [login to view URL] by browser control) - Matches should open single pages when clicked. - Single Page will show - besides some informations - all related Network users. It needs to have some filter and order option, initially based on Geolocation. - Visitors could change their location if needed - Very light simple mobile-first front-end Back end (for Network users) - They should easily relate themselves with the Data they want. - Basic profile usage - They may Edit their profile, retrieve their passwords, etc Back end (for Admins) - Questions and answers should have a intuitive way to be Created, Updated and Edited. - Answers for questions should have be expansible. - Intuitive way to Create, Update and Edit the Data and related them with Questions and Answers - Admins could edit Network profiles - Admin could turn on or off Matches are suggested on demand if it starts to require high server usage. - It would be nice if the system could be initially set as Answers like Akinator (Fixed answers: yes, no, probably yes, probably no, not sure) or Answers like Identifont (Alternative choices entered by admin plus 'not sure') Core - It should work in simple server at first, so I'm expectting PHP, Mysql or a light framework MVC. - Built-in backup system AI Core - Data will only be inserted by Admins. There is no need for the website to learn new Data by Visitor. - System should know and learn the best next question to make, given more relevant and high eliminators questions first - Not all Data will be anwered by all the answered so it really needs a good architure. I think it is the basic of Binary Tree. - There is no minimal question. If system could find a match in fewer questions, the better. - As Akinator and Identifont, it would be great if system could consider the Visitor making a mistake in some of their answer.
プロジェクト ID: 12950400

プロジェクトについて

9個の提案
リモートプロジェクト
アクティブ 7年前

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+++++++ LEARNING APP COMPLETE SCRIPT - READY TO USE +++++++++++ Hello, We have recently completed JAPANESE E-LEARNING APP and it is very much similar to all the features you require. I want to discuss the complete project with you, so I can share the demo for the application which I have created. Let me know the best suitable time for you to schedule the meeting, Feel free to message me at any time, I use to be online 24x7 on Freelancer so probably you will get a quick response from my end. Regards,
$257 USD 10日以内
5.0 (29 レビュー)
7.1
7.1
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Directly to the subject: There are 2 sides to be discussed. The first one, which is the most important is the machine learning basis for your algorithm. At first look, decision trees will suite most your need. Now, the second side concerns the coding. I suggest a spring hibernate rest server. PS: The cost may change depending on more details.
$1,111 USD 30日以内
5.0 (2 レビュー)
3.5
3.5
ユーザーアバター
hi I am a Graphic designer and developer.... I can do your job with your full satisfaction.... I am able for this job and i will complete it as soon as possible..... Hope to get a answer back..... Regards, Muhammad Nouman Aslam
$35 USD 5日以内
0.0 (0 レビュー)
0.0
0.0

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BRAZILのフラグ
Brazil
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メンバー登録日:12月 5, 2014

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ありがとうございます!無料クレジットを受け取るリンクをメールしました。
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