career guidance app.

Project Code :TCMAAN173

Objective

The aim of this system is to provide recommendations based on recorded information on the users' preferences. These systems use information filtering techniques to process information and provide the user with potentially more relevant items.

Abstract

Career guidance system can build the path to find an informative guide. Prior to the recommendation system, it was a life of utter confusion as to which course could give relevant career. And people are not able to get customary feedback on a particular course. The application prepares the college list as per the entrance examination marks and the eligibility criteria of colleges and the courses chosen. The college list is filtered based on parameters like institution ranking, fee limits and location chosen. Mobile Application For Career Guidance. The registration to selected college involves student extensive details and Aptitude Test (AT). The Aptitude Test is multiple choice question (MCQ) based and includes verbal section, quantitative section and general knowledge. The application will help the students to get the most appropriate college and the course in the field of their interest in India or abroad.

The application can be used by students and parents as it provides complete details of colleges like tuition and accommodation fees, eligibility criteria, campus placement opportunities, accommodation facilities, scholarship schemes, campus support services, rules and regulations etc. It helps students to select colleges in engineering and management field in India and abroad based on the factors like qualifying exam details, technical expertise and other details.

 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE SPECIFICATIONS

Operating System: Windows and Android

SDK IDE: Android Studio 3.3

Virtual Emulator: Nexus Pixel 2

Programming Language: Java

Front End: Xml

Server scripting Language: PHP

Database: MySQL

HARDWARE SPECIFICATIONS

CPU type: Intel i7

Ram size: 16 GB

Hard disk capacity:1TB

Monitor type: 15 Inch color monitor

Keyboard type: Internet keyboard

Mobile: Android

Learning Outcomes

  • Real time application scenarios.
  • What is collaborative filtering?
  • What is recommendation system.
  • What is the use of recommendation system.
  • Create the model.
  • How model can train.
  • How ML can work and real time applications.
  • Android architecture.
  • Basic about java.
  • Basic about MySQL.
  • Knowledge about server side programming.
  • Difference between client side and server side programming language.
  • Knowledge about server.
  • Knowledge about database and queries.
  • Knowledge about Volley API.
  • How to communicate with API.
  • How API Communicate with Server.
  • What are Packages and dependencies regarding the app?
  • What are various versions of android app and android operating system
  • About Android studio.
  • Client side validation.
  • Server side validation
  • Difference between client side validations.
  • Different Debugging Techniques.
  • Deployment of app.
  • About play store deployment.
  • What is manifest?
  • About XML.
  • Widgets in android.
  • Views in android.
  • Layouts in android.
  • How to design the user Interface.
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

Demo Video