a university course and attendance management system
Estimated monthly cost at the usage scale below — billed by actual usage
60 req/s
Peak Concurrency
1.13 GB
Database Storage
386.72 GB
Object Storage
23.44 GB
Outbound data transfer
What is this app
This comprehensive university platform manages academic life for 15,000 students and their faculty. It streamlines course scheduling, digital attendance check-ins, and assignment submissions, while providing AI-powered support for navigating campus policies and academic inquiries.
As a student, I want to view my class schedule and classroom locations so that I can get to class on time.
As a student, I want to check in digitally for my classes so that my attendance is recorded accurately.
As a student, I want to submit my assignments online so that I can meet academic deadlines.
As a student, I want to ask the AI bot about university policies so that I can get immediate help with academic inquiries.
As a teacher, I want to create assignments and instructions so that my students know what to submit.
As an administrator, I want to oversee the system and manage student records to ensure institutional data integrity.
15000
students
Students attending classes and submitting work.
1000
teachers
Teaching staff responsible for courses and grading.
50
administrators
System administrators and academic office staff.
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 large-scale institutional management of 15,000 students and faculty.
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
60 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~192%)
120
Database storage add-on
14.88 GB
10GB × 2/year, amortized monthly
(plan/kit 3.00 GB + add-on +11.88 GB)
Add-on fills +11.88 GB gap beyond plan/kit
16.67
Object storage
add-on
415.24 GB
100GB × 4/year, amortized monthly
(plan/kit 60.00 GB + add-on +355.24 GB)
Add-on fills +355.24 GB gap beyond plan/kit
11.67
Outbound data transfer add-on
25.17 GB/mo
not purchased
(plan/kit 60.00 GB/mo)
Covered by plan/kit (margin ~138%)
0
AI points add-on
1.8M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~173%)
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
1.21 GB-month
RDS gp3 storage → 0.14
415.24 GB-month
S3 Standard → 9.55
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $339.94 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $340
Per AWS usage sizing above
≈ $2340
Infra $340 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $340
Per AWS usage sizing above
≈ $1840
Infra $340 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $340
Per AWS usage sizing above
≈ $1840
Infra $340 + 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
$247
All-in: egress / storage / auto-scaling included
$247
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 university has 15,000 students. We estimate an additional 1,000 faculty members and 50 administrative staff, totaling approximately 16,050 registered users. No anonymous browsing is assumed as it is a private institutional system.
This is a university administrative system, which operates as a standard stock-migration-style system where data from the entire academic year (365 days) is typically relevant and fully loaded for active students. Assuming the system has been in use for a full cycle, 360 days represents a realistic load.
Class Check-in Peak
Class Check-in Peak
Class Check-in Peak
Weekly Deadline Rush
Routine Daytime Activity
88
times/month
60 req/s
Peak load
This scenario represents the synchronized start of classes throughout the university. We assume 4 major lecture start times per day, 22 weekdays per month. The 300-second duration reflects the typical window students use to arrive and perform a digital check-in.
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 student checks their schedule and performs a digital check-in for their current class.
A student views pending assignments and uploads their completed work.
A student or teacher uses the AI chatbot to ask about school policies.
A teacher logs in to create a new assignment for one of their courses.
An administrator monitors system usage and user accounts.
page
data_table
ai_agent
action_flow
Student Dashboard
The main landing page for students showing their daily schedule.
Course Detail View
Detailed view of a course session where students can check in.
Assignment Portal
A page for students to view assignment requirements and upload their work.
AI Help Center
A chatbot interface for academic and policy inquiries.
Faculty Dashboard
Management dashboard for teaching staff.
Admin Control Panel
Administrative interface for system oversight.
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 are the main drivers of system load for this university app?
How is the 30-day assignment retention policy enforced?
Copy to discuss with AI
Challenge & re-estimate