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Enhanced Analytic System for Smart
University Assistance
Navonaya Brahmachari 1729037
Rahul Bordoloi 1729048
Ritwik Das 1729054
Saptarshi Mazumdar 1729058
Suranja Bakshi 1729228
A Minor Project Associated
School of Computer Engineering KIIT-DU
Computer Science and Communication Engineering
Under the guidance of
Prof. Rajdeep Chatterjee
Overview
Introduction and Objective
System Architecture and Different Components
Implementation of Classifiers in Comparative Approach
Data Transfer API Processing- The Backbone Preparation
System Deploy and Server Establishment
Web Development and UX Creation
Marker Based Augmented Reality for Enhanced Security
Android Application
Snapshots of Project
Conclusion and Future Work
Introduction and Objectives
• Often after higher secondary results students find themselves in a turmoil in deciding
what stream of engineering is best suited for them. The proposed system aims to be
a guide. Moreover, the pre-final and final year students face difficulty in opting the
right field or domain for their career paths to grow. BEFRIEND will help them make
this decision.
• The classical process of allocating rooms to the borders is completely manual and it
takes a lot of time and effort to provide the confirmed rooms to borders due to which
the students face a lot of problems.
• Also to manage things efficiently, the proposed system has an event scheduler
where a student can keep track of his/her due academic projects, assignments, quizzes
and also nonacademic activities.
System Architecture and Different Components
Implementation of Classifiers in Comparative Approach
Machine Learning
Applications
The Machine learning approach
which was followed is to find a set of
different hyper-parameters and tune
the normal ensemble classifier to
boost-up the accuracy precision and
creating a much more robust and
especially adaptable model.
Data Transfer API Processing- The Backbone Preparation
API Preparation and
Integration
The key approach to prepare a robust
but secure system is to differentiate
and isolate ends. The python based
APIs used here dependent on secure
Ubuntu based WSGI Server
1
Cloud based NoSQL Database
integration to avoid Query Injection is
one more major step to achieve more
reliability
2
System Deploy and Server Establishment
System Deployment
Load Balancing
For complete system deployment,
two different clouds were used to
balance to overall load and manage
the complete process with an
encapsulated backend. Both global
systems are accessed by the local
machine and maintained locally.
Web Development and UX Creation
Web Components
Building
Several node packages and PHP
vendors were used throughout the
development to provide a handful
of experience to an user and
making noticeable versatility for
different programs
Marker Based Augmented Reality for Enhanced Security
Selecting the Marker and
preparing for scanner1 Scanned by the camera, system will
jump into next validation2
On a successful completion of
verification, it’ll allow admin to access
the console
3
Android Application
Android Studio application was used to build the required mobile app.
Java and XML are the languages used for the development.
Snapshots of Project
Conclusion and Future Work
This project has the potential to become the official portal of the university. A lot
more functionalities can be added (Bus routes and bus timings for day boarders etc.).
Basically it could be an upgraded version of currently used product. The connection
established with alumni can be tapped for future mentorship programs and
guidance. For maintenance purposes, once a specification is being brought into
action, it is valid for both Android and IOS environments. Further changes if
required is needed only to be done once for a single environment it gets
automatically incurred in other one.
Thank You
______

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ENHANCED ANALYTIC SYSTEM FOR SMART UNIVERSITY ASSISTANCE

  • 1. Enhanced Analytic System for Smart University Assistance Navonaya Brahmachari 1729037 Rahul Bordoloi 1729048 Ritwik Das 1729054 Saptarshi Mazumdar 1729058 Suranja Bakshi 1729228 A Minor Project Associated School of Computer Engineering KIIT-DU Computer Science and Communication Engineering Under the guidance of Prof. Rajdeep Chatterjee
  • 2. Overview Introduction and Objective System Architecture and Different Components Implementation of Classifiers in Comparative Approach Data Transfer API Processing- The Backbone Preparation System Deploy and Server Establishment Web Development and UX Creation Marker Based Augmented Reality for Enhanced Security Android Application Snapshots of Project Conclusion and Future Work
  • 3. Introduction and Objectives • Often after higher secondary results students find themselves in a turmoil in deciding what stream of engineering is best suited for them. The proposed system aims to be a guide. Moreover, the pre-final and final year students face difficulty in opting the right field or domain for their career paths to grow. BEFRIEND will help them make this decision. • The classical process of allocating rooms to the borders is completely manual and it takes a lot of time and effort to provide the confirmed rooms to borders due to which the students face a lot of problems. • Also to manage things efficiently, the proposed system has an event scheduler where a student can keep track of his/her due academic projects, assignments, quizzes and also nonacademic activities.
  • 4. System Architecture and Different Components
  • 5. Implementation of Classifiers in Comparative Approach Machine Learning Applications The Machine learning approach which was followed is to find a set of different hyper-parameters and tune the normal ensemble classifier to boost-up the accuracy precision and creating a much more robust and especially adaptable model.
  • 6. Data Transfer API Processing- The Backbone Preparation API Preparation and Integration The key approach to prepare a robust but secure system is to differentiate and isolate ends. The python based APIs used here dependent on secure Ubuntu based WSGI Server 1 Cloud based NoSQL Database integration to avoid Query Injection is one more major step to achieve more reliability 2
  • 7. System Deploy and Server Establishment System Deployment Load Balancing For complete system deployment, two different clouds were used to balance to overall load and manage the complete process with an encapsulated backend. Both global systems are accessed by the local machine and maintained locally.
  • 8. Web Development and UX Creation Web Components Building Several node packages and PHP vendors were used throughout the development to provide a handful of experience to an user and making noticeable versatility for different programs
  • 9. Marker Based Augmented Reality for Enhanced Security Selecting the Marker and preparing for scanner1 Scanned by the camera, system will jump into next validation2 On a successful completion of verification, it’ll allow admin to access the console 3
  • 10. Android Application Android Studio application was used to build the required mobile app. Java and XML are the languages used for the development.
  • 12. Conclusion and Future Work This project has the potential to become the official portal of the university. A lot more functionalities can be added (Bus routes and bus timings for day boarders etc.). Basically it could be an upgraded version of currently used product. The connection established with alumni can be tapped for future mentorship programs and guidance. For maintenance purposes, once a specification is being brought into action, it is valid for both Android and IOS environments. Further changes if required is needed only to be done once for a single environment it gets automatically incurred in other one.