AI Rehab Estimation¶
Photo-based cost prediction for renovation budgets
Important Market Disclaimer
Rehab cost estimates are based on Oklahoma City market pricing data.
Costs vary SIGNIFICANTLY by market:
| Market | Kitchen Rehab | Full Rehab/SqFt |
|---|---|---|
| Oklahoma City (base) | $8-15K | $25-40/sqft |
| Dallas/Houston | +20-35% | $35-55/sqft |
| Denver/Phoenix | +40-60% | $45-65/sqft |
| California coastal | +100-200% | $75-150/sqft |
| NYC/SF Bay Area | +150-300% | $100-200/sqft |
YOU are responsible for adjusting estimates to YOUR local market. These estimates are educational starting points based on Cameron's OKC experience. Always get local contractor bids before making offers.
What Is AI Rehab Estimation?¶
AI Rehab Estimation uses computer vision to analyze property photos and generate rehab cost estimates without requiring a contractor walkthrough.
GPT-4V or Claude Vision] D[Condition Detection] S[Scope Identification] end subgraph Cost["Cost Engine"] L[Local Pricing Data] C[Cost Calculator] R[Risk Adjustment] end subgraph Output["Output"] O[Estimated Rehab 38500
Range 32K-45K
Confidence 75%] end P1 & P2 & P3 & P4 --> V V --> D --> S S --> L --> C --> R --> O style V fill:#3b82f6,color:#fff style D fill:#3b82f6,color:#fff style S fill:#3b82f6,color:#fff style L fill:#6366f1,color:#fff style C fill:#6366f1,color:#fff style R fill:#6366f1,color:#fff style O fill:#22c55e,color:#fff
How It Works¶
Step 1: Photo Upload¶
User uploads property photos (minimum 5, recommended 15+):
| Photo Type | Required | Purpose |
|---|---|---|
| Kitchen (multiple angles) | Yes | Cabinets, counters, appliances |
| Bathrooms (each) | Yes | Fixtures, tile, vanity |
| Living areas | Yes | Flooring, walls, ceilings |
| Bedrooms | Recommended | Flooring, closets, windows |
| Exterior (front, back, sides) | Yes | Roof, siding, foundation |
| Mechanicals (HVAC, water heater) | Recommended | System age/condition |
| Basement/attic | If applicable | Foundation, insulation |
Step 2: AI Vision Analysis¶
The AI analyzes each photo for condition indicators:
Replace 8-12K] K2[Counters] --> K2R[Laminate
Replace 2-4K] K3[Appliances] --> K3R[Working
Keep or 2-3K] K4[Flooring] --> K4R[Vinyl
Replace 1.5-2.5K] end style K1 fill:#3b82f6,color:#fff style K2 fill:#3b82f6,color:#fff style K3 fill:#3b82f6,color:#fff style K4 fill:#3b82f6,color:#fff style K1R fill:#eab308,color:#000 style K2R fill:#eab308,color:#000 style K3R fill:#22c55e,color:#fff style K4R fill:#eab308,color:#000
Step 3: Condition Scoring¶
Each room/component gets a condition score:
| Score | Condition | Typical Action |
|---|---|---|
| 90-100 | Excellent | Keep as-is |
| 70-89 | Good | Minor updates |
| 50-69 | Fair | Moderate rehab |
| 30-49 | Poor | Major rehab |
| 0-29 | Failed | Full replacement |
Step 4: Cost Calculation¶
AI applies local pricing data to identified scope:
📸 Kitchen Assessment
────────────────────────
Cabinets: REPLACE $9,500 (±$2,000)
Counters: REPLACE $3,200 (±$800)
Appliances: KEEP $0
Flooring: REPLACE $2,100 (±$500)
Lighting: UPDATE $450 (±$100)
────────────────────────
Kitchen Total: $15,250 (Range: $12,250 - $18,250)
📸 Bathroom 1 Assessment
────────────────────────
Vanity: REPLACE $1,200 (±$300)
Toilet: KEEP $0
Tub/Shower: REGLAZE $350 (±$50)
Tile: KEEP $0
Flooring: REPLACE $800 (±$200)
────────────────────────
Bathroom 1 Total: $2,350 (Range: $1,850 - $2,850)
... (continues for all areas)
Example Analysis¶
Input: Distressed Property Photos¶
Property: 3bd/1.5ba, 1,400 sqft, built 1955
AI Analysis Output¶
OVERALL ESTIMATE: $42,600¶
| Category | Condition | Action | Estimate | Range |
|---|---|---|---|---|
| Kitchen | Poor | Full remodel | $15,250 | $12-18K |
| Bathroom 1 | Fair | Update fixtures | $2,350 | $2-3K |
| Bathroom 2 | Poor | Full remodel | $2,850 | $2-4K |
| Flooring | Poor | Replace all | $4,800 | $4-6K |
| Paint/Drywall | Fair | Full repaint | $3,500 | $3-4K |
| Windows | Fair | Replace 4 of 8 | $2,800 | $2-4K |
| Exterior | Fair | Paint + repairs | $4,000 | $3-5K |
| HVAC | Good | Keep existing | $0 | $0 |
| Electrical | Fair | Panel upgrade | $1,500 | $1-2K |
| Contingency (15%) | - | - | $5,550 | - |
| TOTAL | - | - | $42,600 | $36-50K |
Confidence Level: 72%
⚠️ AI Limitations Detected: - Roof condition unclear from photos (add inspection) - Foundation not visible (recommend inspection) - HVAC age not confirmed (verify before closing)
AI Vision Technology¶
How Vision AI Works¶
Vision AI Capabilities¶
| Detection Type | Examples | Accuracy |
|---|---|---|
| Material ID | Wood vs laminate, tile vs vinyl | 85% |
| Condition | Dated, worn, damaged, modern | 80% |
| Style | Builder-grade, mid-range, high-end | 75% |
| Age | 1960s vs 1990s vs 2020s | 70% |
| Issues | Water damage, cracks, stains | 75% |
Limitations¶
| Limitation | Mitigation |
|---|---|
| Can't see behind walls | Flag for inspection |
| Roof condition from ground only | Recommend drone/inspection |
| HVAC age from label only | Ask user to input |
| Foundation often not visible | Recommend inspection |
| Photo quality affects accuracy | Require minimum resolution |
Pricing Database¶
Local Cost Data¶
AI pulls from our pricing database (500+ line items):
| Category | Item | Unit | Min | Typical | Max |
|---|---|---|---|---|---|
| Kitchen | Cabinets (10 LF) | LF | $150 | $225 | $400 |
| Kitchen | Countertops (granite) | SF | $45 | $65 | $100 |
| Kitchen | Appliance package | Set | $1,500 | $2,500 | $5,000 |
| Bathroom | Vanity + top | Each | $300 | $600 | $1,200 |
| Bathroom | Toilet | Each | $150 | $250 | $500 |
| Flooring | LVP | SF | $3 | $5 | $8 |
| Flooring | Hardwood refinish | SF | $3 | $4.50 | $6 |
| Paint | Interior (per room) | Room | $200 | $350 | $600 |
| HVAC | Furnace + AC | System | $4,000 | $6,500 | $10,000 |
| Roof | Shingle (per sq) | Sq | $300 | $450 | $700 |
Data Sources: - Cameron's SOW pricing template - HomeAdvisor/Thumbtack contractor data - Local contractor quotes (Cleveland focus) - User-submitted actual costs
Accuracy Validation¶
How Accurate Is AI Rehab Estimation?¶
| Metric | Target | Current Status |
|---|---|---|
| Within ±20% of actual | 80% of estimates | Planned |
| Within ±30% of actual | 95% of estimates | Planned |
| False confidence | <5% | Planned |
Improving Accuracy¶
user submits] C[Compare] T[Train Model] end E --> A A --> C C --> T T --> E style E fill:#3b82f6,color:#fff style A fill:#f97316,color:#fff style C fill:#6366f1,color:#fff style T fill:#22c55e,color:#fff
Every completed deal improves the model:
- User enters actual rehab costs
- System compares to original estimate
- Model adjusts for systematic errors
- Cleveland-specific accuracy improves over time
Who Offers This Today?¶
Competitor Landscape¶
| Company | Photo-Based Estimates | Accuracy Claim |
|---|---|---|
| Handoff.ai | Yes | ~±25% |
| Flipster | Basic | Unknown |
| DealCheck | No | N/A |
| FlipperForce | No | N/A |
| PropStream | No | N/A |
Handoff.ai is the closest competitor with photo-based analysis.
Our Advantage: - Integrated with Cameron's SOW methodology - Cleveland market-specific pricing - User feedback loop for continuous improvement - Combined with Deal Review AI scoring
Implementation Roadmap¶
| Phase | Milestone | Complexity | Timeline |
|---|---|---|---|
| Phase 3 | Manual SOW Builder | Done | - |
| Phase 3 | Basic photo condition hints | Medium | Q3 2026 |
| Future | Full vision-based estimation | Very High | 2027 |
| Future | Automated accuracy validation | High | 2027 |
Technical Requirements¶
| Component | Technology | Cost |
|---|---|---|
| Vision AI | GPT-4V or Claude Vision | $0.01-0.03/image |
| Image storage | Cloudflare R2 | ~$5/mo |
| Pricing database | PostgreSQL | Included |
| Training data | User submissions | Free |
Estimated cost per estimate: $0.15-0.50 (15-30 photos)
AI Rehab by Tier¶
| Feature | Free | Solo | Pro | Team |
|---|---|---|---|---|
| Manual SOW Builder | ❌ | ✅ | ✅ | ✅ |
| Photo condition hints | ❌ | ❌ | ✅ | ✅ |
| Full AI estimation | ❌ | ❌ | ❌ | ✅ (Beta) |
| Accuracy feedback | ❌ | ❌ | ✅ | ✅ |
AI Rehab Estimation is a Phase 3/Future feature
Currently available: Manual SOW Builder with 500+ line items
See AI Roadmap for development timeline