Contributor :
Jay Kumar
Mentor :
Dhruv Baliyan
This project focuses on solving the problem of efficiently managing and accessing location and boundary data across India. By collecting and storing this geographical information, the project aims to provide a reliable API service that allows users to query and retrieve detailed location data. This solution facilitates seamless access to India’s geospatial boundaries, helping in applications that require accurate geographical insights.
Contributor :
Jay Kumar
Mentor :
Dhruv Baliyan
This project focuses on solving the problem of efficiently managing and accessing location and boundary data across India. By collecting and storing this geographical information, the project aims to provide a reliable API service that allows users to query and retrieve detailed location data. This solution facilitates seamless access to India’s geospatial boundaries, helping in applications that require accurate geographical insights.
About Contributor
Jay Kumar is a software engineer passionate about solving complex technical challenges and contributing to impactful open-source projects. With a strong background in backend development, he enjoys optimizing systems for efficiency and performance. Jay is driven by the desire to create innovative solutions that make a difference.
Key Impact Takeaways:
- The geoip project offers a free alternative to commercial services like Google Maps APIs for accessing location and boundary data across India.
- This project aims to provide comprehensive, accurate geospatial data, which can be utilized in various sectors such as governance, urban planning, and logistics.
- It significantly reduces the dependency on paid APIs for geospatial data, allowing developers and organizations to access location information without licensing costs.
- The API service is designed for scalability, making it suitable for applications with high traffic or large datasets.
- The project promotes open access to Indian geospatial data, fostering innovation and development across different industries.
- The project is already bieng used by organisations like Samagra (KISAI Project).
- The average request duration improved from 2.09 seconds to as low as 18.91 milliseconds, with zero failed requests and 100% success in response checks.