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A Portable & Intelligence Interview System Supervisor: Dr. Cheng Reynold Cheng Man Fung Kevin 3035042423 Fung Chin Pan 3035044641 Lau Hiu Tsun 3035042423 Tso Hei Lok 3035043738

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Agenda Background & Related Work Objectives How to Achieve Development Platform About Our Application Other Technologies Utilized Demo Conclusion

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Background & Related Work

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Background Difficulties: Manually Paper Work Process Time-consuming & costly Onsite Interview Site Problem Bad Network Connection Problem Decision Making How to select a right candidate Develop an All-in-one Application

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Related Work Existing System Management of the applicants information Improvement on user interface & presentation of data Face-to-face Interview No functionality on Video Conferencing & Recording

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Related Work Existing Product Some may include Video conferencing function Analysis on the effectiveness and consistency across interviewers Excellent interfaces on managing applicants information Combined them all together, we get a Portable and Intelligent Interview System !!

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Objective

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Diversity Functionalities to manage information Portability Handling of bad network connection problem Intelligence Analysis on interviewee

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How to Achieve

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Diversity All-in-one System Text processing, video conferencing, recording & etc. A Server allowing access from around the world Keeping information inside confidential

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How to Achieve Portability Online System Offline System To handle bad network environment Simple to use

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How to Achieve Intelligence Statistical Analysis Presentation of pass data in Charts Comparison among different years of data Data-mining Text Mining Nave Bayes Classifier

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Development Platform

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LAMP Ubuntu, Apache Server, MySQL, PHP5 Developed for a long time Free & Open-source software

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Development Platform MVC Model Model View Controller CodeIgniter Build-in libraries Developed for years

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IntelliJ IDEA over Eclipse IDE Smarter auto-completion Class name / method signatures / variables

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IntelliJ IDEA over Eclipse IDE Optimized Default Controls for Keyboard Refactoring, error fixing, generation of code Key Binding: Alt-Insert Key Binding: None (Manual Configuration needed)

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About Our Application

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Business Flow Preparation phase System admin (root) create new round Add staff (helpers / reviewers) to new round Accept student applicants

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Business Flow Pre-interview phase Helpers provide summary to student applicants (helpers comment) Reviewers have a chat by conferencing with the student applicants of interest Staff add new students manually if necessary

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Business Flow On-site interview phase Student Applicants information prepared Conduct interview and record with video functionality / camcorder Manage comments and interview videos (Optional, for offline module only) Upload comments and interview videos

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Business Flow Post on-site interview Sundry Item Review students full record Automated analysis (on-site comment analysis, map analysis, chart analysis) Email Functionality

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Special Feature Video Conferencing Impossible to arrange interviews for all the applicants Video Recording Difficult for some of the reviewers to participate the onsite interview

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Special Feature Secure Socket Layer (SSL) application layer confidentiality symmetric key encryption protection against network packet capturing software

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Special Feature Analysis Map analysis Distribution of the location of university of current year applicants Comment Analysis Suggestion of whether the student applicants should be accepted or not Chart analysis Statistical information of current round for better planning and coordination in future

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No-Network Capability Endure the unstable, low bandwidth or even no network situation Develop offline module Manage onsite comments and interview videos Upload the managed comment with one click when network is stable

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Minor items Student list filtering Email Student view application View application

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(fyp14003s1.cs.hku.hk) Online Module @ HKUCS System Architecture Database HTTPS Offline Module Interne t Sync Student Applicant Info. / Upload Onsite Comment and Video Geolocation with Unstable/NO Internet Access Web Server + WebRTC Node JS server Bring into Bring back Manage student applicants onsite interview comment and video View student applicants information Interview round management User account management Comments and video management Analysis Email functionality

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Database Design

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Model View Controller (MVC) pattern Passive view model Controller: communicating component View component: presentation of data Model: logical evaluation Views further organized Advantage: separation of code

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Decorator Pattern Helps filtering of student applicants list Reduces number of subclasses by decorator chaining Improves code quality

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Other Technologies Utilized

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What is WebRTC? Free open source Real-Time Communications (RTC)

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Why WebRTC? No plug-in open source free Standardized efficient

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WebRTC work on? Chrome Opera Firefox

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WebRTC applications do Get streaming Audio Video Other data

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WebRTC applications do Get network information IP address Ports Coordinate signaling communication Exchange information about media Communicate streaming

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WebRTC implements APIs MediaStream Audio Video RTCPeerConnection establish communication channel RTCDataChannel prepare for signaling

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MediaStream synchronized streams of media

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Signaling not specified by WebRTC standardize Choose by WebRTC app developer Session Initiation Protocol (SIP) Extensible Messaging and Presence Protocol (XMPP) XMLHttpRequest (XHR) (We use Socket.io running on a Node server)

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Signaling Exchange three types of information Session control messages Network configuration Media capabilities

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RTCPeerConnection Make the communication of streaming data between peers. Stable efficient

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Something about the system Socket.io running on a Node server currently support 1 to 1 conferencing

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RecordRTC JavaScript-based media-recording library A recording solution

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Security Problems Man in middle Data access right issue Malware or viruses might be installed

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WebRTCs Security secure protocols Datagram Transport Layer Security (DTLS) The Secure Real-time Transport Protocol (SRTP) Encryption is mandatory Not a plug-in Media access must be granted explicitly

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Reviewers comment analysis Nave Bayes Classification Efficient Tutorials from the internet Data preparation Classified comments into positive and negative Extract words Calculating Conditional Probabilities Find the largest value to determine the class

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Reviewers comment analysis Testing 75% training data, 25% testing data 24 testing comments (21 positive, 3 negative) Accruacy 90% 19 positive, 5 negative 21 positive comments, 19 of them are classified as positive 3 negative comments, all of them are classified as negative

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Google map geolocation Send a request to google server Short form or full name also accepted HKU and The University of Hong Kong Receive response Put a marker on the map

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Google Chart API Show Statistical data Loading some Google Chart Library Input data Select options Create chart object Showed on javascript

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Technologies Utilized Apache HTTPClient Construction of HTTP GET and POST messages GSON JSON parsed into and from java object Guava Creation of structured constant maps by collection builder.

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Demo

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Conclusion

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Progress- completed Online System E-mail system Video conferencing Onsite and pre-interview video uploading Search form of students Managing accounts Managing rounds Analysis on reviewers comment Reading and modifying comments WebRTC recording in Firefox

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Progress- completed Offline system Synchronization with online system Video saving Viewing student information Modifying reviewers comments

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Progress- under development Google map analysis Cross-year analysis UI design Statistical analysis

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Progress- to be implemented Beta version for professor testing Smoke test has done Need further testing for its robustness We are glad to receive feedbacks for improvement Study WEKA for data mining Video recording in Google Chrome walk-in student support Pre-interview conferencing

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Future Development WEKA a collection of machine learning algorithms applied directly to a dataset Java code data pre-processing, classification, regression, clustering, association rules, and visualization Cross year analysis Provide more statistical information

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Future Development Walkin student support Student who did not register Offline system support Pre-interview conferencing No way to invite a student to start a conferencing Solution A dialog box to accept the conferencing

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Possible Difficulties Reviewers comment analysis Accuracy