a university administration system for students
Estimated monthly cost at the usage scale below — billed by actual usage
180 req/s
Peak Concurrency
1.21 GB
Database Storage
61.61 GB
Object Storage
63.1 GB
Outbound data transfer
What is this app
A centralized university administrative management system for approximately 15,000 students, teaching staff, and administrators. Students can view class schedules and classroom locations, check in for attendance before class, submit assignment files, and ask an AI-powered chatbot about university policies. Assignment files are retained for 30 days while the related academic records support ongoing review.
As a student, I want to view my class schedule and classroom location so that I can attend classes on time.
As a student, I want to check in for attendance before class so that my attendance is recorded.
As a student, I want to submit an assignment file so that my teacher can review my work.
As a student, I want to ask an AI chatbot about university policies so that I can understand administrative rules quickly.
As a teacher, I want to review attendance and submitted assignment files so that I can monitor student participation and coursework.
As an administrator, I want to maintain class schedules and create assignment tasks so that students and teachers have current academic records.
15000
student_group
Students who view schedules, check in for attendance, submit assignments, and ask policy questions.
1000
teacher_group
Teaching staff who review attendance and submitted assignment files.
100
admin_group
University administrative staff who maintain schedules and create assignment tasks.
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
Multiple workflows and an AI chatbot require 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
180 req/s
single-tenant kit × 2
(plan/kit 305 req/s)
Covered by plan/kit (margin ~69%)
240
Database storage add-on
4.26 GB
10GB × 1/year, amortized monthly
(plan/kit 4.20 GB + add-on +62.58 MB)
Add-on fills +62.58 MB gap beyond plan/kit
8.33
Object storage
add-on
66.15 GB
not purchased
(plan/kit 102.00 GB)
Covered by plan/kit (margin ~54%)
0
Outbound data transfer add-on
67.75 GB/mo
not purchased
(plan/kit 102.00 GB/mo)
Covered by plan/kit (margin ~51%)
0
AI points add-on
31.9M points
6,000,000 AI Points × 6/month
(plan/kit 37.0M points + add-on +30.9M points)
Add-on fills +30.9M 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.
4 × t4g.large × 730h
EC2 t4g.large → 196.22
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
1.30 GB-month
RDS gp3 storage → 0.15
66.15 GB-month
S3 Standard → 1.52
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $430.03 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / build in-house
about $220,000 - $380,000
≈ $430
Based on the AWS estimate above
≈ $2,430
Infra $430 + ops ~$2,000
4-8 months
5 / 5
Vibe Coding
about $55,000 - $105,000
≈ $430
Based on the AWS estimate above
≈ $1,930
Infra $430 + ops ~$1,500
6-12 weeks
3 / 5
AI full-stack generation
about $40,000 - $85,000
≈ $430
Based on the AWS estimate above
≈ $1,930
Infra $430 + ops ~$1,500
4-8 weeks
4 / 5
Off-the-shelf SaaS / vertical solution
about $30,000 - $75,000
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
$347
All-in: egress / storage / auto-scaling included
$347
2-4 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 population includes the stated 15,000 students, approximately 1,000 teaching staff, and approximately 100 administrative staff because these roles are required to operate the described academic workflows. The system is private and authenticated, so no additional anonymous population is included. If the university has materially different staff counts, the registration pools can be adjusted.
We assume this is a university administrative platform that launches with a full pre-existing dataset because the institution already has an established student population and academic schedule. The system therefore needs to represent a fully loaded operating environment from the beginning rather than grow from a small early user base. If the deployment starts with only a new department and no historical dataset, this parameter can be adjusted downward.
Class Check-in Peak
Class Check-in Peak
Class Check-in Peak
Assignment Deadline Window
Policy Support Hours
22
times/month
180 req/s
Peak load
We assume this is a distinct high-concurrency scenario because class start times synchronize many students and produce attendance writes in a narrow pre-class interval. The schedule review and check-in are kept in one purpose because they are sequential steps of the same attendance task, with the write action marked as the unique core action. A 180-second window represents the practical period immediately before and at class start when students complete check-in. This pattern occurs on approximately 22 teaching weekdays per month, while multiple class sessions are flattened into the university-wide participant scale.
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 daily timetable and records attendance.
Student views an assignment and uploads the completed work.
Student asks the AI chatbot about university policies.
Teacher reviews attendance for a class session.
Teacher reviews student assignment submissions.
Administrator maintains schedules and creates assignment tasks.
page
data_table
ai_agent
action_flow
Student Dashboard
Authenticated student home page showing class times, classroom locations, and attendance check-in controls.
Assignment Detail Page
Assignment instructions and submission page for students.
AI Chat Interface
Text chat interface for university policy questions.
Teacher Management Portal
Teacher portal for reviewing attendance and submitted assignment files.
Admin Control Panel
Administrative panel for maintaining class schedules and creating assignment tasks.
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 usage patterns drive the system's resource needs?
How are assignment files retained?
What can the AI chatbot answer?
Copy to discuss with AI
Challenge & re-estimate