a university administration system with AI student support
Estimated monthly cost at the usage scale below — billed by actual usage
160 req/s
Peak Concurrency
3.76 GB
Database Storage
118.98 GB
Object Storage
444.14 GB
Outbound data transfer
What is this app
A comprehensive administrative management platform for universities, supporting 15,000 students. It enables students to manage schedules, submit assignments, and perform pre-class attendance check-ins, while providing an AI-driven chatbot for policy inquiries. Teachers and administrators use the system to oversee academic operations and manage content with automated 30-day data retention policies.
As a student, I want to view my class schedule and classroom locations so I know where to go.
As a student, I want to submit my assignments through the system for grading.
As a student, I want to check in for attendance before class starts.
As a student, I want to ask an AI chatbot about university policies.
As a teacher, I want to create assignments and upload requirement files for my students.
As a teacher, I want to review and grade the assignments submitted by my students.
As a teacher, I want to see the attendance logs for my class sessions.
As an administrator, I want to update policy documents so the AI chatbot provides accurate info.
15000
student_user
University students who view schedules, check in for attendance, and submit assignments.
1000
teacher_user
Faculty members who manage assignments and track student performance.
50
administrator_user
Staff responsible for system maintenance and updating policy information.
Requirements to minimum viable plan to cost
Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out.
The numbers in the "Project demand" column below — their scale assumptions and derivations — are detailed in Scale & sizing.
Minimum viable plan
PRO
The project requires SSO Login for managing 15,000 student accounts within a university infrastructure, which is a PRO feature.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
99
single-tenant kit
160 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~9%)
120
Database storage add-on
40.32 GB
10GB × 4/year, amortized monthly
(plan/kit 3.00 GB + add-on +37.32 GB)
Add-on fills +37.32 GB gap beyond plan/kit
33.33
Object storage
add-on
127.76 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +67.76 GB)
Add-on fills +67.76 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
476.89 GB/mo
500GB × 11/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +416.89 GB/mo)
Add-on fills +416.89 GB/mo gap beyond plan/kit
32.08
AI points add-on
353K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~1318%)
0
plan + add-ons · usage-based · no development cost
Your options for this project
In the table below, the "monthly infrastructure" for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage.
4 × t4g.large × 730h
EC2 t4g.large → 196.22
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
4.04 GB-month
RDS gp3 storage → 0.46
127.76 GB-month
S3 Standard → 2.94
344.14 GB (first 100GB free)
Internet egress → 30.97
Total ≈ $462.74 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $463
Per AWS usage sizing above
≈ $2463
Infra $463 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $463
Per AWS usage sizing above
≈ $1963
Infra $463 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $463
Per AWS usage sizing above
≈ $1963
Infra $463 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
N/A
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$287
All-in: egress / storage / auto-scaling included
$287
hours
5 / 5
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/mo all-in and removes the need for an ops team.
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.
What scale this estimate assumes, and how the numbers are derived
Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation.
We start with the 15,000 students mentioned. Based on typical university ratios, we estimate 1,000 teaching staff and 50 administrative/system personnel, totaling 16,050 users.
University systems are typical stock migration projects. Once launched, they are fully populated with student and course data from day one, and academic activity is constant throughout the year. Therefore, we use 365 days to represent a full year of data.
Class Start Peak Window
Class Start Peak Window
Class Start Peak Window
Routine Academic Hours
Routine Academic Hours
88
times/month
160 req/s
Peak load
We assume 4 major class start times per day (e.g., 8:00, 10:00, 13:00, 15:00) during 22 weekdays per month, resulting in 88 occurrences. The 300-second (5-minute) duration represents the typical window students use to mark attendance before the grace period ends. This scene captures the highest write concurrency for the `attendance_records` table.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. Click to expand each item.
How this app works
What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI
assistant behind each one.
The daily routine for a student checking their schedule and marking attendance.
Process of viewing assigned homework and uploading a submission file.
Students using the AI assistant to learn about university rules.
Teachers creating homework and reviewing student work.
Administrators keeping the AI knowledge base current.
page
data_table
ai_agent
action_flow
Student Dashboard
Personalized landing page for students showing daily schedule and attendance buttons.
Assignment Pages
Interface for browsing and submitting homework assignments.
AI Chat Page
Chat interface for interacting with the AI Policy Assistant.
Teacher Management Dashboard
Administrative portal for teaching staff to manage academic content.
Policy Admin View
Backend view for managing policy documents used by the AI chatbot.
What you might want to know about this project
The Q&A below is generated by AI based on this project's type, features and scale.
What is the main driver of storage consumption in this system?
How does the AI chatbot affect resource usage?
How is the high concurrency of class check-ins handled?
Copy to discuss with AI
Challenge & re-estimate