Problem Statement/Opportunity Manual process of going through numerous hostel application submitted by students. Decision made is subjected to human judgement/error False/Incorrect information filled in by students upon application Over – application of hostel 2
Business Objectives To speed up the processing time / facilitate decision-making which in turn helps to improve efficiency of employees and reduce waiting time for the outcome for applicants. 3
Business Success Criteria To reduce processing time for applications by 50%. To reduce the outcome waiting time by 50% (i.e. from two weeks to one week). 4
Solution Statement (using AI to solve the problem) Create an ml model to help to process hostel application Ensure 1) minimum processing time (to achieve criteria of reduction in overall processing and waiting time) <create a ml model to…> <integrate ml model into existing application…> 5
Data Sources Internal data sources: Hostel Application guide Hostel Application form EduRec system External data sources: Student details from Student Finance Details of student CCA points from Uni database Hostel Admission information from OSA Residential options available from OSA 6
Data Variables 7 Variable Data Type Description student_category Categorical Applicant category – UG/PG student_status Categorical Applicant is FT/PT/Withdrawn/LOA student_nationality Categorical Local/International Student student_gender Categorical Male/Female student intended_length Numeric Length of proposed stay student_year Categorical Study year cca_points Numeric Points earned from activities local_distance Numeric Distance between home and campus for local students