a university administrative portal for student schedules, assignments, and attendance management
Estimated monthly cost at the usage scale below — billed by actual usage
114 req/s
Peak Concurrency
4.15 GB
Database Storage
85.94 GB
Object Storage
171.88 GB
Monthly Outbound Traffic
What is this app
A comprehensive administrative management system designed for universities to streamline academic workflows. It enables 15,000 students to view class schedules and locations, check in for attendance, and submit assignments with a 30-day retention period. The system also features an AI-powered customer service chatbot to assist students with policy inquiries and school-related matters.
As a student, I want to view my class schedule and classroom locations so that I can find my way to class on time.
As a student, I want to check in for attendance so that my presence is officially recorded.
As a student, I want to submit my assignments digitally before the deadline.
As a student, I want to ask the AI assistant about university policies to get quick answers to my questions.
As a teacher, I want to view attendance and student submissions to monitor academic progress.
As an administrator, I want to manage school policy documents to keep the AI knowledge base updated.
15000
students
Registered students of the university who use the system for schedules, attendance, and assignments.
1000
teachers
University faculty members who manage classes and review submissions.
50
administrators
Staff members responsible for system maintenance and policy updates.
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
Managing 15,000 student accounts requires SSO login for institutional security and identity management.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
Pro
(Plan tier: PRO)
99
single-tenant kit
114 req/s
single-tenant kit × 1
(plan/kit 175 req/s)
Covered by plan/kit (margin ~54%)
120
Database storage add-on
7.68 GB
10GB × 1/year, amortized monthly
(plan/kit 3.00 GB + add-on +4.68 GB)
Add-on fills +4.68 GB gap beyond plan/kit
8.33
Object storage
add-on
92.27 GB
100GB × 1/year, amortized monthly
(plan/kit 60.00 GB + add-on +32.27 GB)
Add-on fills +32.27 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
184.55 GB/mo
500GB × 3/year, amortized monthly
(plan/kit 60.00 GB/mo + add-on +124.55 GB/mo)
Add-on fills +124.55 GB/mo gap beyond plan/kit
8.75
AI points add-on
917K points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~445%)
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.
3 × t4g.large × 730h
EC2 t4g.large → 147.17
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
4.46 GB-month
RDS gp3 storage → 0.51
92.27 GB-month
S3 Standard → 2.12
71.88 GB (first 100GB free)
Internet egress → 6.47
Total ≈ $388.41 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $388
Per AWS usage sizing above
≈ $2388
Infra $388 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $388
Per AWS usage sizing above
≈ $1888
Infra $388 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $388
Per AWS usage sizing above
≈ $1888
Infra $388 + 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
$239
All-in: egress / storage / auto-scaling included
$239
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 project specifies 15,000 students. We estimate an additional 1,000 faculty members and 50 administrative staff to manage policies and the system, bringing the total to 16,050.
This is a university administrative system, which operates on a standard academic calendar. Such systems are typically fully operational and loaded with data from the start of the academic year. Therefore, we assume an effective accumulation of 365 days to represent a full cycle of student activity, assignments, and attendance records.
Class Check-in Peak
Routine Academic Hours
AI Assistant Casual Use
88
times/month
We assume this scene occurs at the start of major class blocks (e.g., 8:00 AM, 10:00 AM). With 4 primary class starts per day across 22 weekdays, we reach 88 occurrences. The 300-second (5-minute) duration reflects the 'strong synchronization' of the school bell, where a large portion of the student body hits the system simultaneously.
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.
A student checks their daily schedule and performs a check-in action when arriving at the classroom.
A student views pending assignments and uploads a submission file. Also includes the background purging of old files.
A student interacts with the AI chatbot to ask about university policies.
A teacher reviews the attendance records and assignment submissions for their assigned classes.
An administrator updates or adds new school policies to the system knowledge base.
page
data_table
ai_agent
action_flow
Student Schedule Dashboard
The main dashboard for students to see their daily classes and check in.
Assignment Portal
A portal where students can see their coursework and submit their assignment files.
AI Policy Chatroom
An interactive chat interface for students to get assistance from the AI Policy Consultant.
Teacher Management Dashboard
Dashboard for teachers to track attendance and grade student assignments.
Policy Management Portal
A management interface for administrators to maintain the school policy database.
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.
How does the assignment retention policy affect storage usage?
How does the AI assistant handle school policy inquiries?
What drives the peak concurrent load in this system?
Copy to discuss with AI
Challenge & re-estimate