EcoDormDiary

AI estimates your dorm and meal emissions from simple uploads and uni schedules.

Score: 7.7/10UKMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Climatetech students cannot accurately log their carbon footprints because most trackers lack integration with university meal plans and dorm energy data.

Solution

EcoDormDiary lets students upload dorm bills and meal receipts, using AI to estimate precise carbon footprints tailored to their university's data patterns. It provides comparative analytics against course peers and predictive modeling for semester totals. Easy sharing for group projects makes it ideal for climatetech assignments.

Target Audience

Students enrolled in climatetech courses at universities

Differentiator

AI trained on anonymized uni datasets for 95% accurate estimates without full API access.

Brand Voice

supportive

Features

Receipt Upload

must-have18h

Scan/upload meals and bills for AI parsing

AI Estimation Engine

must-have25h

Calculate co2 from uploads using uni benchmarks

Peer Comparison

must-have12h

Anonymized benchmarks vs classmates

Semester Predictor

must-have10h

Forecast total emissions

Assignment Exporter

must-have8h

Generate charts for reports

Uni Schedule Sync

must-have10h

Import class schedule for context

Habit Builder

nice-to-have6h

Daily prompts for better logging

Trend Graphs

nice-to-have5h

Interactive monthly visuals

Voice Logging

nice-to-have7h

Dictate meals via mic

Integrations Hub

future12h

Future Zapier support

Total Build Time: 113 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
uni_iduuidYes
coursetextYes

Relationships:

  • foreign key to universities.id

uploads

ColumnTypeNullable
iduuidNo
user_iduuidNo
file_urltextNo
typetextNo
processed_attimestampYes

Relationships:

  • foreign key to users.id

estimates

ColumnTypeNullable
iduuidNo
upload_iduuidNo
co2_estimatefloatNo
confidencefloatYes

Relationships:

  • foreign key to uploads.id

universities

ColumnTypeNullable
iduuidNo
nametextNo
benchmark_datajsonbYes

API Endpoints

GET
/api/unis

Uni list with benchmarks

POST
/api/uploads

Handle file upload

🔒 Auth Required
POST
/api/estimates

Trigger AI estimation

🔒 Auth Required
GET
/api/dashboard

User summary data

🔒 Auth Required
POST
/api/exports

Generate report

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API + Supabase
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
OpenAI API for estimation

Build Timeline

Week 1: Setup and uploads

22h
  • Auth
  • File upload
  • DB

Week 2: AI core

28h
  • Estimation engine
  • Uni data

Week 3: Dashboard

25h
  • Comparisons
  • Predictor

Week 4: Exports and UI

20h
  • Charts
  • Payments

Week 5: Test/deploy

15h
  • Tests
  • Landing

Week 6: Polish

10h
  • Nice-to-haves
Total Timeline: 6 weeks • 140 hours

Pricing Tiers

Free

$0/mo

No peers

  • 5 uploads/mo
  • Basic estimates

Pro

$27/mo

None

  • Unlimited uploads
  • Peer comp
  • Predictors

Enterprise

$97/mo

None

  • Team accounts
  • Custom AI tuning

Revenue Projections

MonthUsersConversionMRRARR
Month 11201.5%$54$648
Month 67003.5%$735$8,820

Unit Economics

$10
CAC
$220
LTV
6%
Churn
88%
Margin
LTV:CAC Ratio: 22.0xExcellent!

Landing Page Copy

AI-Powered Carbon Diary for Dorm Life

Upload receipts, get uni-accurate footprints and beat your peers.

Feature Highlights

Smart receipt scanning
Peer benchmarks
Semester forecasts
Easy exports

Social Proof (Placeholders)

"'AI nailed my dorm estimates!' - Sam, Berkeley"
"'Perfect for group projects.' - Taylor, Yale"

First Three Customers

Email climatetech profs at top unis for class recommendations; offer beta to first 10 responders; share MVP on university sustainability Facebook groups.

Launch Channels

Product Huntr/ZeroWaster/climateHacker NewsLinkedIn Climatetech

SEO Keywords

dorm carbon footprint estimatorstudent meal receipt carbon aiclimatetech assignment trackeruniversity emissions calculator

Competitive Analysis

MyClimate

myclimate.org
Donation
Strength

Calculators

Weakness

No AI or uploads

Our Advantage

Automated student-focused

🏰 Moat Strategy

AI model fine-tuned on growing user upload data for superior accuracy.

⏰ Why Now?

AI advancements enable accurate estimation; student climate courses booming post-Paris Agreement.

Risks & Mitigation

technicalmedium severity

AI accuracy variance

Mitigation

Human override + feedback loop

executionlow severity

Upload processing delays

Mitigation

Queue with Supabase

Validation Roadmap

pre-build5 days

Interview 30 students

Success: 80% pain confirmation

mvp21 days

100 uploads processed

Success: 90% satisfaction

growth7 days

Email waitlist

Success: 20% conv

Pivot Options

  • B2C receipt app
  • Corporate expense carbon
  • General AI carbon tool

Quick Stats

Build Time
140h
Target MRR (6 mo)
$800
Market Size
$4.0M
Features
10
Database Tables
4
API Endpoints
5