B

AI Education Project Portfolio Builder

3.30

Derivation Chain

Step 1 Expansion of AI/XR convergence Education (Metaverse Academy, etc.)
→
Step 2 Post-completion job seeking and Freelancer activities by graduates
→
Step 3 Converting AI Education project deliverables into job-ready portfolios

Problem

Non-CS graduates completing programs like Metaverse Academy or AI bootcamps spend 1–2 weeks trying to organize team project deliverables into job-ready portfolios—struggling with tech stack descriptions, isolating individual contributions, editing demo videos, and writing GitHub READMEs. Their unfamiliarity with technical terminology makes it difficult for recruiters to properly assess their capabilities, and post-completion employment rates remain below 40% within 3 months.

Solution

By connecting team project repositories (GitHub) and presentation materials, the service automatically isolates individual commit contributions and generates a portfolio page that reframes tech stack, architecture, and personal role from a recruiter's perspective. It also provides auto-edited demo video highlights, GitHub README template generation, and a resume-linked one-pager.

Target: Non-CS career changers completing AI/XR bootcamps and academies (ages 20–30), career placement coordinators at those Education institutions
Revenue Model: Per Transaction: $14.90 per portfolio set; B2B cohort pricing at $7.40 per person (50+ participants)
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (51/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
8.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Backend [medium] Frontend [medium] AI/ML [low]
Dashboard