a university administration system for students
Estimated monthly cost at the usage scale below — billed by actual usage
238 req/s
Peak Concurrency
3.51 GB
Database Storage
104.78 GB
Object Storage
98.91 GB
Outbound data transfer
What is this app
This university administrative management system serves approximately 15,000 students along with teaching and administrative staff. Students can view class schedules and classroom locations, access and submit assignments, check in for attendance before class, and ask an AI customer service chatbot about university policies. Assignment files are retained for 30 days.
As a student, I want to view my class schedule and classroom locations so that I know where and when to attend classes
As a student, I want to view assignments for my classes and submit assignment files so that I can complete coursework
As a student, I want to check in before each class so that my attendance is recorded
As a student, I want to ask the AI customer service chatbot about university policies so that I can get quick answers
As a teacher, I want to create assignments for my class sections so that students have coursework to complete
As a teacher, I want to review student submissions and attendance records so that I can manage class work and attendance
As an administrator, I want to maintain class sections, schedules, teachers, and classroom locations so that students and teachers have current academic information
15000
students
University students who view schedules, access assignments, submit files, check in for attendance, and use AI-powered student support.
1000
teachers
Teaching staff who create assignments and review student submissions and attendance records.
50
administrators
Academic and system administrators who maintain class sections, schedules, teachers, and classroom locations.
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
BASIC
Institutional system requires ongoing publishing, branded access, and multiple workflows; current selection is based on the requirement for at least the BASIC plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
39
single-tenant kit
238 req/s
single-tenant kit × 2
(plan/kit 305 req/s)
Covered by plan/kit (margin ~28%)
240
Database storage add-on
3.90 GB
not purchased
(plan/kit 4.20 GB)
Covered by plan/kit (margin ~8%)
0
Object storage
add-on
112.50 GB
100GB × 1/year, amortized monthly
(plan/kit 102.00 GB + add-on +10.50 GB)
Add-on fills +10.50 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
106.20 GB/mo
500GB × 1/year, amortized monthly
(plan/kit 102.00 GB/mo + add-on +4.20 GB/mo)
Add-on fills +4.20 GB/mo gap beyond plan/kit
2.92
AI points add-on
34.3M points
6,000,000 AI Points × 6/month
(plan/kit 37.0M points + add-on +33.3M points)
Add-on fills +33.3M points gap beyond plan/kit
60
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.
5 × t4g.large × 730h
EC2 t4g.large → 245.28
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
3.77 GB-month
RDS gp3 storage → 0.43
112.50 GB-month
S3 Standard → 2.59
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $480.44 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $220,000 - $420,000
≈ $480
Based on the AWS estimate above
≈ $2,480
Infra $480 + ops ~$2,000
4-8 months
5 / 5
Vibe Coding
about $70,000 - $150,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
2-4 months
3 / 5
AI full-stack generation
about $90,000 - $190,000
≈ $480
Based on the AWS estimate above
≈ $1,980
Infra $480 + ops ~$1,500
1-3 months
4 / 5
Off-the-shelf SaaS / vertical solution
about $45,000 - $120,000
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
1-3 months
2 / 5
Momen
Recommended
$0
$345
All-in: egress / storage / auto-scaling included
$345
2-6 weeks
4 / 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 assume the university has approximately 15,000 students as stated, together with a typical supporting population of about 1,000 teaching and academic staff and a small administrative group of about 50 system administrators. These registered groups define the stable account population, while anonymous access is not required for the described authenticated academic functions.
We assume a university administration system launches with a full pre-existing dataset of users, courses, class sections, enrollments, and schedules because these academic records are normally loaded for the start of an operating period. The system therefore carries substantial activity from launch rather than building gradually, so the equivalent accumulation period is set near the full annual horizon. If the product begins with no existing academic data and grows gradually, this parameter can be adjusted accordingly.
Class Check-in Peak
Class Check-in Peak
Class Check-in Peak
Routine Academic Operations
Policy Support Chat Period
88
times/month
237.5 req/s
Peak load
We assume this is a standalone scenario because class starts create a strong external synchronization signal and attendance writes concentrate immediately before the scheduled start. The attendance behavior and incidental academic browsing are separated into two purposes so that the write burst is not blended with routine reads. A 120-second window represents the practical pre-class check-in period, and the scenario occurs on approximately 22 weekdays with several class periods each day, represented as 88 monthly occurrences.
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.
Student reviews the current class schedule and coursework.
Student reviews and submits coursework.
Student completes pre-class attendance check-in.
Student asks the AI customer service chatbot about university policies.
Teacher creates coursework for a class.
Teacher reviews submitted assignment files.
Teacher reviews attendance for a class.
Administrator maintains class sections, teachers, meeting times, and classroom locations.
Teacher reviews assignment requirements.
Administrator inspects the academic schedule.
page
data_table
ai_agent
Student Dashboard
A student's starting page for class schedules, classroom locations, and current assignments.
Assignment Detail Page
Assignment instructions, requirement-file access, and student submission entry.
Attendance Check-in Page
The student-facing page for verifying a class and recording attendance.
AI Support Chat Page
A text conversation page for AI-powered student support about university policies.
Teacher Assignment Management Page
Teacher workspace for creating assignments and reviewing uploaded student submissions.
Teacher Attendance Management Page
Teacher-facing attendance review for enrolled classes and class sessions.
Academic Administration Page
Administrative workspace for maintaining courses, class sections, teachers, schedules, and classroom locations.
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 determines the system's resource usage?
How does the 30-day assignment retention policy affect the plan?
When will attendance create the highest load?
What affects AI chatbot consumption?
Why are teacher and administrator roles included?
Copy to discuss with AI
Challenge & re-estimate