AI Enabled Market Prediction App.

Project Code :TCMAAN180

Objective

Now these days, market traders needs to be updated at every step of the market. The use of AI or machine learning app in the modern stock market keeps the shares rising and falling on a daily basis. You can also get help building a portfolio, check the real-time market value of any stock, getting help in understanding stock charts, market trends and everything from your mobile phone.

Abstract

Artificial Intelligence (AI) technology has advanced impressively since inventors began tampering with its potential. Many believe that the next great use for AI technology will be in the field of financial market speculation. Technology can be used either to make our lives better or make money. 

The stock exchange market is the most volatile and most dynamic of all. Special care has to be exercised in buying and selling of stocks from different companies or businesses. The probability of losing stocks and acquiring benefits through the stocks are fifty-fifty. The volatility of the stock market jumbles up a trader’s nervous system making it difficult to understand or think rationally. 

Keywords: Artificial Intelligence, Prediction, Market Analysis.

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 in Using AI.
  • Android architecture.
  • How prediction can work.
  • What is psudocode.
  • What is algorithm.
  • How SVM can work.
  • How ML can predict the market trends.
  • How Recommendation system can work.
  • 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.
  • Basic about java.
  • 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.
  • Different Debugging Technique’s
  • 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.
  • How languages integrated with mobile app.
  • How app will suggests and error checking.
  • 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

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