🚦 FlowCast AI

Enterprise Smart Traffic Prediction Platform using Machine Learning, Deep Learning & Explainable AI

---

📌 Overview

FlowCast AI is an enterprise-grade intelligent traffic prediction and analytics platform that combines Machine Learning, Deep Learning, Explainable AI, and interactive dashboards to forecast traffic conditions and support data-driven traffic management.

The platform performs complete end-to-end traffic analytics, including:

• Traffic Data Analysis
• Feature Engineering
• Machine Learning Prediction
• Deep Learning Forecasting
• Explainable AI (SHAP & LIME)
• Interactive Dashboard
• Upload Custom Dataset
• Real-Time Traffic Insights

---

🚀 Features

📊 Analytics Dashboard

• Enterprise KPI Dashboard
• Interactive Plotly Visualizations
• Traffic Trends
• Congestion Analysis
• Weather Analytics
• Road-wise Traffic Analysis
• Vehicle Distribution
• Correlation Heatmap
• Download Reports

---

🤖 Prediction Engine

Supports multiple prediction models:

• Random Forest
• XGBoost
• Best ML Model
• LSTM Deep Learning
• Ensemble Prediction

Prediction includes:

• Traffic Volume Forecast
• Congestion Detection
• Confidence Score
• Delay Estimation
• AI Recommendation
• Traffic Gauge
• Model Comparison
• Prediction History

---

🧠 Explainable AI

Model Interpretability using

• SHAP Feature Importance
• SHAP Waterfall Plot
• SHAP Summary Plot
• SHAP Dependence Plot
• LIME Explanation
• Global Feature Importance
• Local Prediction Explanation
• AI Decision Summary

---

📂 Upload Dataset

Users can upload their own traffic dataset for prediction.

Supported format:

• CSV

Validation includes:

• Missing Values
• Duplicate Records
• Dataset Preview
• Statistics
• Download Clean Data

---

📷 Dashboard Preview

🏠 Home

• dashboard/screenshots/2_home_page

📊 Analytics

• dashboard/screenshots/3_analytics_page

🤖 Prediction

• dashboard/screenshots/4_prediction_page

🧠 AI Insights

• dashboard/screenshots/5_ai_insights

📂 Upload Dataset

• dashboard/screenshots/6_upload_data

---

🛠 Project Structure

FlowCast-AI
│
├── dashboard/
│   ├── app.py
│   ├── assets/
│   ├── pages/
│   │   ├── 01_Home.py
│   │   ├── 02_Analytics.py
│   │   ├── 03_Prediction.py
│   │   ├── 04_AI_Insights.py
│   │   └── 05_Upload_Data.py
│   └── screenshots/
│
├── data/
│   ├── raw/
│   └── processed/
│
├── docs/
│
├── models/
│   ├── artifacts/
│   ├── deep_learning/
│   ├── best_model.pkl
│   └── xgboost_model.pkl
│
├── notebooks/
│
├── reports/
│
├── requirements.txt
│
└── README.md

---

📁 Machine Learning Pipeline

Raw Traffic Data
        │
        ▼
Data Cleaning
        │
        ▼
Preprocessing
        │
        ▼
EDA
        │
        ▼
Feature Engineering
        │
        ▼
Random Forest
        │
        ▼
XGBoost
        │
        ▼
LSTM Deep Learning
        │
        ▼
Model Evaluation
        │
        ▼
Explainable AI
        │
        ▼
Interactive Dashboard

---

📊 Models Used

Model	Purpose
Random Forest	Baseline Prediction
XGBoost	High Accuracy Prediction
LSTM	Sequential Traffic Forecasting
Ensemble	Final Prediction

---

🧰 Technology Stack

Programming

• Python

Data Processing

• Pandas
• NumPy

Machine Learning

• Scikit-Learn
• XGBoost

Deep Learning

• TensorFlow
• Keras

Explainable AI

• SHAP
• LIME

Visualization

• Plotly
• Matplotlib

Dashboard

• Streamlit

---

📈 Workflow

Traffic Dataset
      ↓
Cleaning
      ↓
EDA
      ↓
Feature Engineering
      ↓
Model Training
      ↓
Model Evaluation
      ↓
Explainable AI
      ↓
Traffic Prediction Dashboard

---

▶️ Installation

Clone the repository

git clone https://github.com/aparna190417/FlowCast-AI.git

Move into project

cd FlowCast-AI

Install requirements

pip install -r requirements.txt

Run Streamlit

streamlit run dashboard/app.py

---

📌 Future Improvements

• Live Traffic API Integration
• Google Maps Visualization
• Real-Time Prediction
• IoT Sensor Support
• Cloud Deployment
• Automated Model Retraining
• REST API Support

---

👩‍💻 Developer

Aparna Patel

Data Analyst | Machine Learning | Deep Learning | Explainable AI

GitHub

https://github.com/aparna190417

---

⭐ If you like this project

Please consider giving it a ⭐ on GitHub.

---

📜 License

© 2026 Aparna Patel