CareerPath

Project Title

CareerPath

Project Area of Specialization Software EngineeringProject Summary

The Project will be related to Predictive Data Mining and Opinion Mining.

Predictive data mining is data mining that is done for the purpose of using Business

Intelligence or other data to forecast or predict trends. This type of data mining can help

Business leaders make better decisions and can add value to the efforts of the analytics

Team.

IT professionals may often talk about predictive data mining in conjunction with predictive analytics or say that predictive data mining supports predictive analytics. Predictive analytics is the use of data to forecast results. Data mining is the process of going through the system databases and finding relevant data to analyze.

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyze current and historical facts to make predictions about future or otherwise unknown events.

In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions.

Opinion mining also known as Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Sentiment analysis is widely applied to reviews and social media for a variety of applications, ranging from marketing to customer service. The aim of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation, affective state i.e. the emotional state of the author when writing, or the intended emotional communication i.e. the emotional effect the author wishes to have on the reader.

Project Objectives

Path Source helps you find the career that’s right for you based on various personality assessments and tests. One key feature is the Lifestyle Assessment, which determines the ideal salary needed to support the lifestyle you lead (or want to lead). From there, it recommends various careers that both match your career interests and have average salaries that support your lifestyle.

Project Implementation Method

• Features of the project
  • We develop a user friendly android mobile application
  • We use a professional registered platforms data sets like LinkedIn and by using data science techniques we make predictions for our users
  • We construct a smart model that make predictions efficiently on a given data set
  • We also provide our courses or any other registered platforms courses for our users
  • We also provide career counselling interviews, workshops, seminars through our application remotely by using chat bot component
  • We also provide our users a complete schedule or daily routine to achieve that particular selected career

• Methodology/Algorithm
  • Data science algorithms
  • Knn model for predictions

• Technologies to be used
  • Android studio
  • Data science
  • File system
  • Knn algorithm
  • Microsoft azure

Benefits of the Project

Path Source helps you find the career that’s right for you based on various personality assessments and tests. One key feature is the Lifestyle Assessment, which determines the ideal salary needed to support the lifestyle you lead (or want to lead). From there, it recommends various careers that both match your career interests and have average salaries that support your lifestyle.

Technical Details of Final Deliverable

• Methodology/Algorithm
  • Data science algorithms
  • Knn model for predictions
  •  
• Technologies to be used
  • Android studio
  • Data science
  • File system
  • Knn algorithm
  • Microsoft azure

Final Deliverable of the Project Software SystemCore Industry ITOther Industries Education , Medical , Finance , Others Core Technology Big DataOther Technologies OthersSustainable Development Goals Quality EducationRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	3000
Google playstore	Miscellaneous	1	3000	3000