a university administrative management system with AI student support
Estimated monthly cost at the usage scale below — billed by actual usage
12 req/s
Peak Concurrency
3.49 GB
Database Storage
86.33 GB
Object Storage
476.56 GB
Outbound data transfer
What is this app
A university administrative management system serving 15,000 students to facilitate schedule viewing, attendance tracking, and assignment submissions. It includes an AI-powered student support chatbot to answer policy queries and automated file retention management for submitted coursework. Administrative and teaching staff can manage academic schedules and grade student work within a secure, centralized portal.
As a student, I want to view my course schedules so that I can attend classes on time.
As a student, I want to check in for attendance so that my presence is recorded.
As a student, I want to submit my assignment files so that I can be graded.
As a student, I want to ask school-policy questions to an AI chatbot so that I get instant answers.
As a teacher, I want to review student attendance so that I can track participation.
As a teacher, I want to grade student assignments so that I can provide feedback.
As an administrator, I want to update school policies so that the AI chatbot has the latest information.
15000
student
The primary user group who view schedules, check in, and submit assignments.
1000
teacher
Academic staff who manage course schedules and grade assignments.
50
administrator
Staff responsible for system maintenance and updating school policies.
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 enterprise-level university identity management for 15,000 students.
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
12 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~108%)
0
Database storage add-on
9.84 GB
10GB × 1/year, amortized monthly
(plan/kit 1.00 GB + add-on +8.84 GB)
Add-on fills +8.84 GB gap beyond plan/kit
8.33
Object storage
add-on
92.69 GB
100GB × 1/year, amortized monthly
(plan/kit 10.00 GB + add-on +82.69 GB)
Add-on fills +82.69 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
511.71 GB/mo
500GB × 13/year, amortized monthly
(plan/kit 10.00 GB/mo + add-on +501.71 GB/mo)
Add-on fills +501.71 GB/mo gap beyond plan/kit
37.92
AI points add-on
1.5M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~230%)
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.
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
3.75 GB-month
RDS gp3 storage → 0.43
92.69 GB-month
S3 Standard → 2.13
376.56 GB (first 100GB free)
Internet egress → 33.89
Total ≈ $366.71 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $367
Per AWS usage sizing above
≈ $2367
Infra $367 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $367
Per AWS usage sizing above
≈ $1867
Infra $367 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $367
Per AWS usage sizing above
≈ $1867
Infra $367 + 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
$148
All-in: egress / storage / auto-scaling included
$148
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.
The system explicitly serves 15,000 students. We assume a standard faculty-to-student ratio resulting in 1,000 teachers and 50 administrative staff, totaling 16,050 registered users. No anonymous public access is required for this private academic portal.
This project is a university administration system, which typically involves a launch with a full pre-existing dataset. Since the school is already operational, the system is fully loaded from day one of launch. We assume the past 12 months were at full load, setting the equivalent continuous running days to 365.
End-of-Week Submission Peak
End-of-Week Submission Peak
Routine Daytime Operations
Routine Daytime Operations
Routine Daytime Operations
4
times/month
12 req/s
Peak load
We assume this scene represents the critical final hour before weekly assignment deadlines. This is a weak-assembly period where students are self-motivated by the deadline rather than a bell, so we use a 1-hour duration (3,600 seconds). It occurs 4 times a month, corresponding to the typical four-week academic cycle. This scene is separated to capture the burst in file uploads and database writes.
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 routine student process of checking assigned work and submitting files.
Students asking policy questions and receiving AI-generated answers.
Teachers reviewing and grading a batch of student submissions.
Administrators updating the policy knowledge base.
page
data_table
ai_agent
action_flow
Student Assignment Dashboard
Dashboard for students to view and submit assignments.
AI Support Center
Chat interface for students to interact with the school policy AI.
Grading Portal
Portal for teachers to review and grade student work.
Policy Management View
Administrative view for updating policy documents.
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 scale of the system?
Does the system automatically handle the 30-day file retention policy?
How does the AI chatbot answer school-policy questions?
Copy to discuss with AI
Challenge & re-estimate