AI University Application Analytics
Context & Pain points
The client processes thousands of student applications each year. Data extraction and system entry took five months per person, followed by a further three months on analysis.
Client Objective
• Reduce application processing time through automated data extraction and analysis.
• Support university admissions counseling with up-to-date information and insights from existing records.
• Automatically read counseling session transcripts and update student records.
Solution
• We developed a system that reads PDF application documents and extracts data from multiple sources and application formats.
• Planned development: compare the extracted data with existing records and generate insights to support counseling for students with similar academic progress and backgrounds.
Challenge
During initial testing, the AI did not consistently extract data accurately or populate the correct fields.
How We Solved It
• Users can review and correct AI-generated results at any time.
• The system records these corrections as feedback to improve future autofill results, increasing accuracy over time.
Scope
- Developing automated reading and data extraction from PDF applications and counseling session transcripts
- Planned development: comparative analysis of existing records and a consolidated dashboard
- Planned development: automated insights to support counseling for students with similar academic progress and backgrounds
System Features
- Automatic reading of PDF application documents
- Automated data extraction from student counseling session transcripts
- Planned development: comparative analysis and a consolidated dashboard
- Planned development: automated insights for counseling students with similar academic progress and backgrounds
Outcome
• Reduced application processing time by 99%.
• Reduced time spent on manual analysis by 95%.
• Enabled counselors to support students using up-to-date information.
Testimonials
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