Google Maps users in Kenya often face persistent navigation challenges marked by confusing directions, inconvenient detours, and unpredictable arrival times. These issues are primarily attributed to limitations in existing navigation solutions, particularly in contending with complex factors affecting GNSS (Global Navigation Satellite System) positioning accuracy in the Kenyan context. This challenge goes beyond technical constraints and impacts the precision of location data, affecting the overall navigation experience.
This repository addresses these challenges and presents a practical solution through the power of AI/ML. Our vision is to create a navigation experience finely tuned for Kenyan users, guided by machine learning algorithms. Your contribution in this exploration is pivotal in producing better positions and connecting geo-spatial information with improved granularity, ultimately shaping the future of navigation methods.
Discover how AI can transform GNSS accuracy, providing precise navigation tailored to Kenya's unique landscape. This impact extends beyond the limitations of current mobile phones, offering lane-specific directions crucial for avoiding missed exits and inaccurate arrival times. Join discussions on refining GNSS data and innovative machine learning models, envisioning a future where AI-powered navigation exceeds conventional expectations, including augmented reality walking guides.
-
GNSS Accuracy Improvement: We aim to enhance GNSS accuracy in the Kenyan context, addressing the complexities that affect location data precision.
-
Machine Learning Algorithms: This project leverages state-of-the-art machine learning algorithms to fine-tune the navigation experience for Kenyan users, delivering better positioning and improved geo-spatial information.
-
Lane-Specific Directions: We are committed to providing lane-specific directions to prevent missed exits and ensure accurate arrival times.
-
Discussion and Collaboration: This repository encourages open discussions and collaboration on GNSS data refinement and innovative machine learning models. Your contributions are welcome and vital.
-
Augmented Reality Integration: We envision a future where AI-powered navigation surpasses conventional expectations, including the integration of augmented reality walking guides.
We welcome contributions from developers, data scientists, and AI/ML enthusiasts who share our vision of enhancing navigation in Kenya. Here's how you can get involved:
- Fork this repository to your own GitHub account.
- Clone the forked repository to your local development environment.
- Create a new branch for your contributions.
- Make the desired changes and improvements.
- Submit a pull request to the main repository for review.
Let's work together to create a navigation solution that caters to the unique needs of Kenyan users and sets new standards in GNSS accuracy and AI-powered navigation. Join us on this exciting journey to improve the navigation experience in Kenya!
This project is licensed under the MIT License.