AI-Powered SMART Capstone Analytics Dashboard
A centralized, AI-driven platform to streamline data collection, automate analysis, match students with projects, and provide actionable feedback for all stakeholders.
The Team
The talented individuals bringing this project to life.
| Name | Role |
|---|---|
| Aamir Khan | Backend Developer – API & Parsing |
| Yipeng Xiao | Database Engineer – PostgreSQL & Supabase |
| S. M. Rashidul Islam | Frontend Developer – Dashboard UI |
| Siva Sankar Krishna Jammigumpula | Frontend Developer – Charts & Layout |
| Arun Gharami | Data Analyst & Team Leader |
A Word from the Team Leader
"It's a good experience to work as a team leader for my university CAP-611 project work, and I am very happy to work in a great team environment."
- Arun Kumar Gharami
Goals by Stakeholder
Students
- Submit registration, resume, and NDA
- View assigned projects and skills match score
- Participate in surveys (post-project)
- See AI analysis comparing their performance to company feedback
- Get feedback on how to improve for the future projects
Companies
- Register their scope of work and expectations
- Submit final evaluations and satisfaction surveys
- Track student performance and project outcome
- Receive AI-generated insights on student alignment and improvement areas
- Access the company dashboard to manage submissions, surveys, and documents
Administrators
- Monitor all student/company engagement
- Track survey completion and satisfaction trends
- Send automated notifications (e.g., survey links, NDA reminders)
- Run AI gap analyses on expected vs. actual outcomes
- Oversee NDA compliance, document uploads, and project status
- Export data for reporting and accreditation
Mentors
- Review assigned student–company matches
- Access student dashboards to monitor progress
- Provide input into skill–project fit
- Track student submissions and learning outcomes
- Support students where AI flags mismatches or skill gaps
AI & Automation Features
Leveraging artificial intelligence to enhance the capstone experience.
- Resume skill extraction + scope matching
- Sentiment + thematic analysis of survey responses
- Survey scoring: NPS, Likert, CSAT
- Gap analysis between performance and expectations
- Auto-reminders for deadlines and submissions
- Data export for stakeholders (PDF, CSV, MD)