https://github.com/prathmesh2507/ctc-hackthon
A data-driven system designed to reduce overcrowding and optimize urban public transport using real-world geospatial data and intelligent simulation.
https://github.com/prathmesh2507/ctc-hackthon
dashboard data-analysis data-visualization python streamlit
Last synced: about 1 month ago
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A data-driven system designed to reduce overcrowding and optimize urban public transport using real-world geospatial data and intelligent simulation.
- Host: GitHub
- URL: https://github.com/prathmesh2507/ctc-hackthon
- Owner: prathmesh2507
- Created: 2026-04-11T22:34:45.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2026-04-23T06:42:52.000Z (2 months ago)
- Last Synced: 2026-04-23T08:26:54.640Z (2 months ago)
- Topics: dashboard, data-analysis, data-visualization, python, streamlit
- Language: Python
- Homepage:
- Size: 2.1 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# 🚍 RouteWise - AI Transport Optimization System
An intelligent transport analytics and optimization system built using **Machine Learning + Streamlit Dashboard**.
---
## 🔥 Features
- 📊 **Passenger Demand Prediction (ML Model)**
- 🚦 **Traffic-Aware Decision System**
- 🧠 **Smart Service Recommendations**
- 🗺️ **Interactive Route Map**
- 🔮 **What-If Simulation (Add Buses)**
- 📈 **Demand Heatmaps & Trends**
- ⚠️ **Overcrowding Detection**
- 🔄 **Alternative Route Suggestions**
---
## 🧠 System Intelligence
The system automatically suggests actions like:
- ➕ Add Bus
- 🔁 Reroute
- ⏱ Increase Frequency
- ✅ Normal Operation
Based on:
- Passenger Load
- Traffic Conditions
- Delay
- Peak Hours
---
## 📂 Dataset Features
- Route & Stop Data
- GPS Coordinates (Lat/Lon)
- Passenger Demand
- Traffic Levels
- Delay & Speed
- Load Factor
- Bus Count
- Travel Distance & Time
- AI Recommendation Fields
---
## 🚀 Tech Stack
- Python 🐍
- Streamlit 🌐
- Scikit-learn 🤖
- Pandas 📊
- Plotly 📈
---
## ▶️ Run Locally
```bash
1️⃣ git clone https://github.com/prathmesh2507/CTC-HACKTHON.git
2️⃣ cd CTC-HACKTHON
3️⃣ pip install -r requirements.txt
4️⃣ python -m streamlit run app.py
```
---
## 🔗 Live Project:
https://ctc-hackthon-dys4t4vucykonlztwhk3re.streamlit.app/
---
## 📸 Dashboard Preview
## 📸 Flowchart Preview
---
## 💡 Future Improvements
- Live Traffic API Integration
- Real-time Bus GPS Tracking
- Mobile App Integration
- Smart Ticketing Data Integration