PLAYACTR - Multi-Model Sports Video Analytics

Technology Stack

AI AnalysisClaude

Speech-to-TextDeepgram

Fast InferenceGroq

DomainSports Video Analytics

TypeMulti-Model AI Pipeline

Architecture Note: PLAYACTR leverages a multi-model AI stack combining Deepgram for real-time audio transcription, Claude for deep strategic analysis, and Groq for ultra-fast inference - delivering comprehensive sports video analytics with AI-powered insights.

AI Processing Agents

🎙️

Deepgram

Audio Transcription

🧠

Claude

Strategic Analysis

⚡

Groq

Fast Inference

🎬

Video Processor

Frame Extraction

🏷️

AI Tagger

Play Classification

📊

Analytics Engine

Dashboard Output

Deepgram Audio Transcription

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flowchart LR
    subgraph Input["🎬 Video Source"]
        VID["📹 Sports Video
Game Footage"]
        AUD["🔊 Audio Track
Commentary"]
    end
    subgraph Deepgram["🎙️ Deepgram API"]
        STT["🎤 Speech-to-Text
Real-time ASR"]
        DIAR["👥 Speaker Diarization"]
        PUNC["📝 Punctuation
& Formatting"]
    end
    subgraph Output["📄 Transcript"]
        TXT["💬 Play-by-Play Text"]
        TS["⏱️ Timestamps"]
        SPK["🗣️ Speaker Labels"]
    end
    VID --> AUD
    AUD --> STT
    STT --> DIAR
    DIAR --> PUNC
    PUNC --> TXT
    PUNC --> TS
    PUNC --> SPK

Claude Play Analysis

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flowchart LR
    subgraph Input["📥 Input Data"]
        TRS["📄 Transcript
Play-by-Play"]
        CTX["📋 Game Context
Score, Time"]
    end
    subgraph Claude["🧠 Claude Analysis"]
        PRM["📝 Prompt Engineering"]
        ANL["🔍 Deep Analysis
Strategic Reasoning"]
        INS["💡 Insight Generation"]
    end
    subgraph Output["📊 Strategic Insights"]
        PLY["🏈 Play Breakdown"]
        STR["📈 Strategy Analysis"]
        REC["🎯 Recommendations"]
    end
    TRS --> PRM
    CTX --> PRM
    PRM --> ANL
    ANL --> INS
    INS --> PLY
    INS --> STR
    INS --> REC

Groq Fast Inference

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flowchart LR
    subgraph Query["🔍 Real-time Query"]
        USR["👤 User Question"]
        CTX["📋 Play Context"]
    end
    subgraph Groq["⚡ Groq LPU"]
        QUE["📥 Query Processing"]
        LLM["🚀 LLaMA Model
Ultra-Fast Inference"]
        GEN["📤 Response Generation"]
    end
    subgraph Response["💬 Instant Analysis"]
        ANS["✅ Quick Answer"]
        STT["📊 Stats Lookup"]
        CMP["🔄 Comparison"]
    end
    USR --> QUE
    CTX --> QUE
    QUE --> LLM
    LLM --> GEN
    GEN --> ANS
    GEN --> STT
    GEN --> CMP

Video Frame 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 TB
    subgraph Source["🎬 Video Input"]
        VID["📹 Game Video"]
    end
    subgraph Extract["🖼️ Frame Extraction"]
        FPS["⏱️ Frame Rate
Sampling"]
        KF["🎯 Key Frame
Detection"]
    end
    subgraph Vision["👁️ AI Vision"]
        OBJ["🔲 Object Detection
Players, Ball"]
        POS["📍 Position Tracking"]
        ACT["🏃 Action Recognition"]
    end
    subgraph Tags["🏷️ AI Tagging"]
        PLY["🏈 Play Type"]
        FRM["📐 Formation"]
        EVT["🎉 Event Tags"]
    end
    VID --> FPS
    FPS --> KF
    KF --> OBJ
    OBJ --> POS
    OBJ --> ACT
    POS --> PLY
    ACT --> PLY
    PLY --> FRM
    PLY --> EVT

Multi-Model Pipeline

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flowchart TB
    subgraph Input["📥 Raw Input"]
        VID["🎬 Sports Video"]
        AUD["🔊 Audio Stream"]
    end
    subgraph Stage1["🎙️ Stage 1: Deepgram"]
        DG["Deepgram ASR"]
        TRS["📄 Transcript"]
    end
    subgraph Stage2["🧠 Stage 2: Claude"]
        CL["Claude Analysis"]
        INS["💡 Deep Insights"]
    end
    subgraph Stage3["⚡ Stage 3: Groq"]
        GQ["Groq Fast Query"]
        RT["⚡ Real-time Response"]
    end
    subgraph Output["📊 Combined Analytics"]
        DSH["📊 Analytics Dashboard"]
        RPT["📋 Game Report"]
        API["🔌 API Output"]
    end
    VID --> AUD
    AUD --> DG
    DG --> TRS
    TRS --> CL
    CL --> INS
    INS --> GQ
    INS --> DSH
    GQ --> RT
    RT --> DSH
    DSH --> RPT
    DSH --> API

Full PLAYACTR Architecture

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flowchart TB
    subgraph Upload["📤 Video Upload"]
        UP["🎬 Upload Interface"]
        VAL["✅ Validation"]
        STR["💾 Storage"]
    end
    subgraph Processing["⚙️ AI Processing Stack"]
        subgraph Audio["🎙️ Audio Pipeline"]
            DG["Deepgram
🎤 Transcription"]
        end
        subgraph Visual["👁️ Visual Pipeline"]
            VIS["🖼️ Frame Analysis
🏷️ AI Tagging"]
        end
        subgraph Analysis["🧠 Analysis Pipeline"]
            CL["Claude
📊 Strategic Analysis"]
            GQ["Groq
⚡ Fast Queries"]
        end
    end
    subgraph Output["📊 Analytics Dashboard"]
        DSH["🖥️ Dashboard UI"]
        PLY["🏈 Play Viewer"]
        STT["📈 Statistics"]
        QRY["🔍 Query Interface"]
    end
    UP --> VAL
    VAL --> STR
    STR --> DG
    STR --> VIS
    DG --> CL
    VIS --> CL
    CL --> DSH
    CL --> GQ
    GQ --> QRY
    DSH --> PLY
    DSH --> STT