Webs craping and Business Success rate Predictions

Basically, it will be a website with an integrated Data Scraper, that will help the user to log in after successful login they can scrape the google maps data by choosing the specified areas of Karachi and from two categories businesses Restaurants, and Medicals. After scraping data of the desired c

Project Title

Webs craping and Business Success rate Predictions

Project Area of Specialization

Artificial Intelligence

Project Summary

Basically, it will be a website with an integrated Data Scraper, that will help the user to log in after successful login they can scrape the google maps data by choosing the specified areas of Karachi and from two categories businesses Restaurants, and Medicals. After scraping data of the desired category, the user can download and also there are 3 options to predict the scraped results based on data, it will include preprocessing of Data, KNN Prediction, and Random Forest Predictions, this will help a business owner to make decisions of opening the business at the particular area.

Project Objectives

Our goal is to predict as much accurate data as we can for this we will first create our dataset and then we train our datasets into machine learning algorithms and then we will try to predict the accurate data as much we can and we can also try to increase the accuracy of our dataset. So it can help people who are looking to start up’s their business.

Project Implementation Method

The Methodology of our project is to scrap a lot of data from the newly created business website and then by the use of machine learning algorithms predict the success rate of that newly created business website by relying on the collected data we scrap from that website. This is very important before startup by applying the machine learning techniques to predict the success rate which will help you in making the decision whether the business will succeed or not. This will help a lot of businesses to prevent failure or from wasting a lot of money and resources. We will be using two types of prediction methods including KNN Prediction and Random Forest Prediction.

Benefits of the Project

Start-up of a new business online is not an easy task as you have to take the financial risk, there is so much stress on the owner and it is also very time consuming, and after all that you still don’t know whether your business will succeed or not, so to prevent from that our scope is to create a project which will first scrap the data of business details and with the help of machine learning techniques our system identify the patterns of data, learn from the insight and autonomous decisions with very little human intervention. Our project will help you by letting you know whether your business will succeed or fail and by our project you will probably make the decision whether to start your business or not to some extent.

Technical Details of Final Deliverable

After successful login, it has pages like Home, Scrape, Predictions, and so on. On the scraped page, you can scrape your desired category's data from google maps by selecting the available options, and on the predictions section, you will be able to download the scraped results in a CSV file, and you will also have 2-3 options for checking your predictions whether the results are a success or not by predicting through three machine learning algorithms.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

No Poverty, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Partnerships to achieve the Goal

Required Resources

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