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https://github.com/techysphinx/transportation_backventures
Road Transport Network Telematics Develop a telematics solution to enable efficient trucking operations for the long haul to connect the country through route optimization, live tracking and monitoring, optimal capacity utilization analysis and to enable appropriate response. Please go through the given figma design link.
https://github.com/techysphinx/transportation_backventures
fastapi jupyter-notebook ml scikit-learn
Last synced: about 11 hours ago
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Road Transport Network Telematics Develop a telematics solution to enable efficient trucking operations for the long haul to connect the country through route optimization, live tracking and monitoring, optimal capacity utilization analysis and to enable appropriate response. Please go through the given figma design link.
- Host: GitHub
- URL: https://github.com/techysphinx/transportation_backventures
- Owner: techySPHINX
- Created: 2024-09-15T17:55:02.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-11-27T19:10:55.000Z (3 months ago)
- Last Synced: 2024-12-18T13:12:58.856Z (about 2 months ago)
- Topics: fastapi, jupyter-notebook, ml, scikit-learn
- Language: Jupyter Notebook
- Homepage: https://tzdxq74pjtt.v0.build/
- Size: 133 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# India Post RTN Optimization Solution ππ»
"Optimizing All India Road Transport Network (RTN) using AI, geofencing, dynamic routing, and GIS technology."## Key Features :
β¦Ώ **Capacity Sharing** ππ» : AI-powered matching of truck capacity with 3PL requests
β¦Ώ **Geofencing** ππ: Real-time monitoring and security
β¦Ώ **MIS Reporting** ππ: Data analytics for route optimization
β¦Ώ **Dynamic Routing** πΊοΈπ¨: Optimized routes for reduced travel time and fuel consumption## Tech Stacks :
β¦Ώ **Kafka** π±: Messaging system for data processing
β¦Ώ **TensorFlow** π€ : Machine learning framework for AI-powered capacity sharing
β¦Ώ **PyTorch** π₯: Machine learning framework for dynamic routing optimization
β¦Ώ **Power BI** π: Business intelligence platform for MIS reporting
β¦Ώ **PostGIS** π: Geographic information system for geofencing and routing
β¦Ώ **GraphQL** π : API query language for data integration## Feasibility and Viability π>
β¦Ώ **Technical Feasibility** π»
Technically feasible with available APIs and cloud platforms πβ¦Ώ **Financial Viability** πΈ
Financially viable with long-term cost savings and revenue potential πβ¦Ώ **Operational Feasibility** π§
Operationally feasible with existing infrastructure and training needs π
`git clone https://github.com/techySPHINX/Transportation_BackVentures`
This project leverages a robust tech stack consisting of FastAPI, Scikit-learn, PyTorch, TensorFlow, Power BI, PostGIS, and Kafka to build a scalable and efficient data science application, specifically focused on optimizing routes for India Post.
### ππππ ππππ β€οΈ ππ’ ππππππππ this πππππππππy!