Real-time drone delivery optimization using Apache Kafka, Spark, and AWS for route efficiency and collision avoidance.
https://github.com/Bitu-Singh-Rathoud/drone-delivery-optimization
This project implements a real-time drone delivery optimization system using big data technologies. It processes streaming telemetry data to optimize delivery routes, reduce travel time, and improve efficiency while avoiding collisions.
- Real-time data streaming using Apache Kafka
- Distributed processing with Apache Spark
- Route optimization for delivery efficiency
- Collision detection and avoidance logic
- Scalable storage using AWS (S3, Redshift)
- Python
- Apache Kafka
- Apache Spark (PySpark)
- AWS (S3, Redshift)
- Big Data Analytics
- Improved route efficiency using real-time data processing
- Reduced delivery time through optimized path selection
- Simulated collision detection for safer drone operations
pip install -r requirements.txt
python main.py