FleetFix is an AI/ML-based web solution that predicts vehicle maintenance needs for logistics companies.
- ✅ Reduce unexpected breakdowns
- ✅ Lower repair & servicing costs
- ✅ Enhance fleet safety & compliance
- ✅ Support sustainable transport practices
- ✅ Optimize resource usage and reduce emissions
Frequent unplanned breakdowns and reactive maintenance cause high repair costs, safety risks, and operational delays. FleetFix uses real-time vehicle data, maintenance history, and external factors (GPS, weather) to predict maintenance needs before issues arise. This ensures timely servicing, lower costs, and safer operations.
- 🔔 Predictive maintenance alerts
- 📡 Real-time vehicle data input
- 🧾 Maintenance history tracking
- 📍 GPS & weather integration
- 📑 PDF/CSV report generation
- 📊 Interactive dashboard & analytics
- 🔒 Secure user registration & login
Model: Random Forest Classifier
Why Random Forest?
During our experimentation, we evaluated multiple machine learning models, including Support Vector Machines (SVM), AdaBoost, and Decision Trees. After comparing their accuracy, robustness, and ease of interpretation, we finalized the Random Forest Classifier because:
- It handles structured vehicle data efficiently
- Combines multiple decision trees to reduce overfitting
- Provides feature importance scores (e.g., mileage, brake health, tire condition)
- Performs reliably even with noisy or incomplete data
FleetFix continuously analyzes real-time and historical data to predict when and where maintenance is required.
| Frontend | Backend | Machine Learning |
|---|---|---|
| HTML, CSS, JS, React.js, Tailwind CSS | Node.js / Express.js | Python (Scikit-learn) |
We are proud to share that FleetFix has received industry recognition and certification from Shivraj Enterprise, validating its effectiveness and real-world applicability.
- 🛠️ 35% reduction in simulated breakdowns
- 💸 Significant cost savings via smart servicing
- ⏳ Reduced delays and operational downtime
- 🌿 Supports green logistics by reducing fuel waste and emissions
- Reduces carbon emissions by optimizing vehicle performance
- Supports smart transport initiatives and compliance with safety standards
- Encourages sustainable fleet operations
- Singgih et al., Machine Learning for Predictive Maintenance, ICVEE 2024
- Chen et al., Correlation-Aware Maintenance Prediction, IEEE Access, 2025
- Sharma & Kalra, Predictive Maintenance for Commercial Vehicle Tyres, ICCCNT 2022
- Maione et al., Predictive Maintenance of Marine Engines, RTSI 2024
FleetFix modernizes fleet maintenance through AI-driven predictive analytics, reducing breakdowns, optimizing servicing, and promoting sustainable operations. Its scalable design ensures future enhancements like automated scheduling and route optimization — making FleetFix a smart, reliable, and green solution for the transport industry.