Quantum Forecaster

This is a web based application. It is developed by using machine learning techniques in python programming language. The main goal of this application is to predict about the price of company share values in a stock exchange market. It predicts that a particular company share value goes whethe

Project Title

Quantum Forecaster

Project Area of Specialization

Artificial Intelligence

Project Summary

This is a web based application. It is developed by using machine learning techniques in python programming language. The main goal of this application is to predict about the price of company share values in a stock exchange market. It predicts that a particular company share value goes whether high or low for next moment. It provides graphical chart, displaying statistics of the assets values. Through which user can easily gain shares status. This application predict the future value of shres after deep analytical processing of predefined data. Predefined data set is collected from Pakistan stock exchange website. This data is proceed using machine learning techniques regression and classification which will result the predicted value. Administrator is enabled to manage all functionalities like collecting data, analyzing data while any user can see the assets values and predicted companies share value.

Project Objectives

Stock exchange market is the core marketing ground where business persons invest their capitals to earn more from there. Prediction of the shares value (ups or downs) is the essential factor in stock exchange marketing which guides an investor whether to invest for a particular assets or not. This project aims to create a web application which will be able to predict the future values of particular assets in stock exchange market, using artificial intelligence algorithms, particularly machine learning. This web application will help investors to invest over the assets which have maximum probability of raising in their prices.

Project Implementation Method

• Python Programming language used
• scrapping data from pakistan stock exchange website
• maintain sql database used
• regression and classification techniques used
• web based interfaces in django framework
• different graphs used to show statistics

Benefits of the Project

• it helps investors to invest over the assets which have maximum probability of raising in their prices.
• help business anylists
• statistics of market and economic growth

Technical Details of Final Deliverable

• hosted web application on internet
• models, techniques and source code
• documentation and manuals

Final Deliverable of the Project

Software System

Core Industry

Finance

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Quality Education, Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com