FOTO-2-MVP MOBILE

2 Squirrels AI

Technology Stack

Business photo analysis mobile app - leveraging GPT-4o Vision and Claude Vision to extract actionable business insights from photographs, enabling intelligent document processing, product analysis, and automated recommendations.

Vision AI OpenAI GPT-4o
Vision AI Claude Vision
Platform Mobile (iOS/Android)
Processing Cloud AI Pipeline

Multi-Model Vision AI System

👁️
GPT-4o Vision
Fast Image Capture & Initial Analysis
🧠
Claude Vision
Deep Business Context Analysis
🔤
OCR Engine
Text Extraction & Parsing
💡
GPT-4 Reasoning
Recommendations & Insights

Multi-Model Strategy: GPT-4o provides rapid visual processing while Claude Vision delivers nuanced business analysis. Combined with GPT-4 reasoning for actionable recommendations.

Workflow 1: GPT-4o Vision Capture

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart TB
    subgraph Mobile["📱 MOBILE CAPTURE"]
        CAM[/"📷 Camera Input"/]
        PREV["🖼️ Preview Frame"]
        QUAL["✅ Quality Check"]
    end

    subgraph Preprocess["🔧 IMAGE PREPROCESSING"]
        RESIZE["📐 Resize & Normalize"]
        ENHANCE["✨ Auto-Enhance
Brightness, Contrast"]
        COMPRESS["📦 Optimize for API"]
    end

    subgraph GPT4o["👁️ GPT-4o VISION API"]
        direction TB
        ENCODE["🔢 Base64 Encode"]
        API[("🌐 OpenAI API
gpt-4o-vision")]
        PROMPT["📝 Vision Prompt
Describe business content"]
    end

    subgraph Output["📤 INITIAL ANALYSIS"]
        DESC["📋 Image Description"]
        OBJECTS["🏷️ Detected Objects"]
        CONTEXT["🎯 Business Context"]
    end

    CAM --> PREV
    PREV --> QUAL
    QUAL --> RESIZE
    RESIZE --> ENHANCE
    ENHANCE --> COMPRESS
    COMPRESS --> ENCODE
    ENCODE --> API
    PROMPT --> API
    API --> DESC
    API --> OBJECTS
    API --> CONTEXT

Workflow 2: Claude Business Analysis

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart LR
    subgraph Input["📥 INPUT"]
        IMG[/"🖼️ Processed Image"/]
        GPT_CTX["📋 GPT-4o Context"]
    end

    subgraph ClaudeVision["🧠 CLAUDE VISION"]
        direction TB
        CLAUDE_API[("🌐 Anthropic API
claude-3-opus-vision")]
        BIZ_PROMPT["📝 Business Analysis Prompt"]
        ANALYSIS["🔍 Deep Analysis"]
    end

    subgraph Insights["💡 BUSINESS INSIGHTS"]
        direction TB
        MARKET["📊 Market Analysis"]
        COMPETE["🏆 Competitive Intel"]
        PRICING["💰 Price Estimation"]
        QUALITY["⭐ Quality Assessment"]
    end

    subgraph Output["📤 STRUCTURED OUTPUT"]
        JSON[("📄 insights.json")]
        REPORT["📑 Analysis Report"]
    end

    IMG --> CLAUDE_API
    GPT_CTX --> BIZ_PROMPT
    BIZ_PROMPT --> CLAUDE_API
    CLAUDE_API --> ANALYSIS
    ANALYSIS --> MARKET
    ANALYSIS --> COMPETE
    ANALYSIS --> PRICING
    ANALYSIS --> QUALITY
    MARKET --> JSON
    COMPETE --> JSON
    PRICING --> JSON
    QUALITY --> JSON
    JSON --> REPORT

Workflow 3: Multi-Model Fusion

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart TB
    subgraph Input["📥 PHOTO INPUT"]
        PHOTO[/"📷 Business Photo"/]
    end

    subgraph Parallel["⚡ PARALLEL PROCESSING"]
        direction LR
        subgraph GPT["👁️ GPT-4o Track"]
            GPT_V["GPT-4o Vision
Fast Detection"]
            GPT_OUT["Quick Analysis"]
        end

        subgraph Claude["🧠 Claude Track"]
            CL_V["Claude Vision
Deep Analysis"]
            CL_OUT["Business Context"]
        end
    end

    subgraph Fusion["🔀 MODEL FUSION"]
        MERGE["🔗 Result Merger"]
        WEIGHT["⚖️ Confidence Weighting"]
        RESOLVE["🎯 Conflict Resolution"]
    end

    subgraph Combined["📊 COMBINED OUTPUT"]
        UNIFIED["📋 Unified Analysis"]
        CONF["📈 Confidence Scores"]
        SOURCES["🏷️ Source Attribution"]
    end

    PHOTO --> GPT_V
    PHOTO --> CL_V
    GPT_V --> GPT_OUT
    CL_V --> CL_OUT
    GPT_OUT --> MERGE
    CL_OUT --> MERGE
    MERGE --> WEIGHT
    WEIGHT --> RESOLVE
    RESOLVE --> UNIFIED
    RESOLVE --> CONF
    RESOLVE --> SOURCES

Workflow 4: Mobile OCR Pipeline

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart LR
    subgraph Capture["📷 DOCUMENT CAPTURE"]
        DOC[/"📄 Document Photo"/]
        DETECT["🔲 Edge Detection"]
        CROP["✂️ Auto-Crop"]
        DESKEW["📐 Deskew"]
    end

    subgraph OCR["🔤 TEXT EXTRACTION"]
        direction TB
        PREOCR["🔧 Pre-OCR Processing"]
        TESSER["📖 Tesseract OCR"]
        GPT_OCR["👁️ GPT-4o Vision
Text Extraction"]
        MERGE_TEXT["🔗 Merge Results"]
    end

    subgraph Parse["📊 STRUCTURED PARSING"]
        NER["🏷️ Named Entity
Recognition"]
        FIELDS["📝 Field Extraction
Date, Amount, ID"]
        VALIDATE["✅ Validation
& Correction"]
    end

    subgraph Output["📤 STRUCTURED DATA"]
        JSON_OUT[("📄 structured_data.json")]
        DB["💾 Database Entry"]
    end

    DOC --> DETECT
    DETECT --> CROP
    CROP --> DESKEW
    DESKEW --> PREOCR
    PREOCR --> TESSER
    PREOCR --> GPT_OCR
    TESSER --> MERGE_TEXT
    GPT_OCR --> MERGE_TEXT
    MERGE_TEXT --> NER
    NER --> FIELDS
    FIELDS --> VALIDATE
    VALIDATE --> JSON_OUT
    JSON_OUT --> DB

Workflow 5: AI Recommendation Engine

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart TB
    subgraph Input["📥 ANALYSIS INPUT"]
        VISION["📋 Vision Analysis"]
        OCR_DATA["📄 OCR Data"]
        HISTORY["📚 User History"]
    end

    subgraph Context["📦 CONTEXT BUILDING"]
        COMBINE["🔗 Combine Inputs"]
        ENRICH["✨ Data Enrichment"]
        PROFILE["👤 User Profile
Integration"]
    end

    subgraph GPT4["🧠 GPT-4 REASONING"]
        direction TB
        GPT4_API[("🌐 OpenAI API
gpt-4-turbo")]
        REASON["🤔 Multi-Step
Reasoning"]
        CHAIN["⛓️ Chain of Thought"]
    end

    subgraph Recommendations["💡 ACTIONABLE OUTPUT"]
        ACT1["📈 Growth Actions"]
        ACT2["💰 Cost Savings"]
        ACT3["⚠️ Risk Alerts"]
        ACT4["🎯 Next Steps"]
    end

    subgraph Delivery["📱 USER DELIVERY"]
        PUSH["📲 Push Notification"]
        DISPLAY["📊 In-App Display"]
        EXPORT["📤 Export Report"]
    end

    VISION --> COMBINE
    OCR_DATA --> COMBINE
    HISTORY --> PROFILE
    COMBINE --> ENRICH
    PROFILE --> ENRICH
    ENRICH --> GPT4_API
    GPT4_API --> REASON
    REASON --> CHAIN
    CHAIN --> ACT1
    CHAIN --> ACT2
    CHAIN --> ACT3
    CHAIN --> ACT4
    ACT1 --> DISPLAY
    ACT2 --> DISPLAY
    ACT3 --> PUSH
    ACT4 --> EXPORT

Workflow 6: Full Vision Architecture

%%{init: {'theme': 'dark', 'themeVariables': { 'primaryColor': '#C17852', 'primaryTextColor': '#F0F6FC', 'primaryBorderColor': '#4A5E32', 'lineColor': '#E6C98F', 'secondaryColor': '#161B22', 'tertiaryColor': '#0D1117', 'background': '#0D1117', 'mainBkg': '#161B22', 'nodeBorder': '#4A5E32', 'clusterBkg': '#161B22', 'clusterBorder': '#4A5E32', 'titleColor': '#E6C98F', 'edgeLabelBackground': '#161B22'}}}%%
flowchart TB
    subgraph Mobile["📱 MOBILE LAYER"]
        CAM["📷 Camera"]
        UI["🎨 UI/UX"]
        CACHE["💾 Local Cache"]
    end

    subgraph Gateway["🌐 API GATEWAY"]
        AUTH["🔐 Auth"]
        ROUTE["🔀 Router"]
        RATE["⏱️ Rate Limit"]
    end

    subgraph Vision["👁️ VISION PROCESSING"]
        direction LR
        GPT4O["👁️ GPT-4o Vision
Fast Capture"]
        CLAUDE_V["🧠 Claude Vision
Deep Analysis"]
        OCR_SVC["🔤 OCR Service"]
    end

    subgraph AI_Core["🧠 AI CORE"]
        FUSION["🔀 Model Fusion"]
        GPT4_R["💡 GPT-4 Reasoning"]
        VECTOR[("🔢 Vector Store")]
    end

    subgraph Data["💾 DATA LAYER"]
        POSTGRES[("🐘 PostgreSQL")]
        REDIS[("⚡ Redis Cache")]
        S3[("☁️ S3 Storage")]
    end

    subgraph Output["📤 DELIVERY"]
        NOTIFY["📲 Notifications"]
        REPORTS["📊 Reports"]
        API_OUT["🔌 API Response"]
    end

    CAM --> AUTH
    UI --> AUTH
    AUTH --> ROUTE
    ROUTE --> RATE
    RATE --> GPT4O
    RATE --> CLAUDE_V
    RATE --> OCR_SVC
    GPT4O --> FUSION
    CLAUDE_V --> FUSION
    OCR_SVC --> FUSION
    FUSION --> GPT4_R
    FUSION --> VECTOR
    GPT4_R --> POSTGRES
    VECTOR --> REDIS
    CACHE --> S3
    POSTGRES --> REPORTS
    REDIS --> API_OUT
    GPT4_R --> NOTIFY