⚖️ CourtFlow

AI-Powered Smart Court Scheduling & Hearing Time Prediction Platform

Optimizing judicial efficiency with AI-driven hearing duration prediction and real-time court scheduling.

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🚨 Problem Statement

Modern judicial systems face severe operational inefficiencies:

• ❌ Massive case backlogs
  
• ❌ Unpredictable hearing durations
  
• ❌ Frequent adjournments
  
• ❌ Idle courtrooms and wasted judicial hours
  
• ❌ Manual scheduling with zero data intelligence
  

Justice delayed is justice denied — and current systems are not data-driven.

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💡 Solution — CourtFlow

CourtFlow is an AI-powered legal tech platform that intelligently manages court schedules using historical case data and real-time updates.

What CourtFlow Does:

• ✅ Predicts hearing durations using ML models
  
• ✅ Automates courtroom scheduling
  
• ✅ Enables real-time rescheduling during delays
  
• ✅ Maximizes courtroom utilization
  
• ✅ Reduces adjournments & idle gaps
  

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🧠 How CourtFlow Works

Historical Case Data
        ↓
 ML Model Training
        ↓
 Hearing Duration Prediction
        ↓
 Intelligent Slot Allocation
        ↓
 Real-Time Delay Detection
        ↓
 Dynamic Rescheduling

CourtFlow continuously learns from past cases and adapts schedules dynamically — not statically.

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🏗️ System Architecture

┌────────────┐        ┌──────────────────┐
│  Frontend  │  API   │     Backend      │
│ Next.js +  ├──────▶│ Python + Uvicorn │
│ TypeScript│        │ ML Inference API │
└─────▲──────┘        └────────┬─────────┘
      │                         │
      │                         ▼
      │                ┌─────────────────┐
      │                │ Trained ML Model│
      │                │   (Joblib)      │
      │                └─────────────────┘

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⚙️ Tech Stack

Frontend

• Next.js
• TypeScript
• Server-Side Rendering
• Real-time UI updates

Backend

• Python
• Uvicorn (ASGI Server)
• REST-based ML inference APIs

Machine Learning

• Trained predictive model
• Joblib for model serialization
• Historical case data driven predictions

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📊 Key Features

Feature	Description
⏱️ Hearing Time Prediction	ML-based duration estimation
📅 Smart Scheduling	Optimized courtroom slot allocation
🔁 Live Rescheduling	Dynamic updates on delays
📈 Court Utilization	Reduced idle courtroom hours
⚖️ Judicial Efficiency	Faster case resolution

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🚀 Impact

• 📉 Reduced case backlog
  
• 🕒 Better time management for judges & lawyers
  
• 🏛️ Higher courtroom utilization
  
• 📊 Data-driven judicial decisions
  
• ⚡ Faster justice delivery
  

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🧪 Local Setup

Frontend

cd frontend
npm install
npm run dev

Backend

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

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🏁 Hackathon Vision

CourtFlow is built to scale nationally and integrate with:

• E-Courts systems
• Government judicial databases
• Real-time court management dashboards

From reactive scheduling → predictive justice infrastructure.

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📜 License

MIT License

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⚖️ CourtFlow — Because justice deserves intelligence.

Built With

• batchfile
• css
• javascript
• python
• typescript