In the field of wildlife research and conservation, camera traps have become an indispensable tool for non-invasively monitoring wildlife. These devices capture crucial data that help in understanding animal behaviour, distributions, and population dynamics. However, the utility of camera traps is often hindered by challenges in data management, including the lack of standardised data formats and efficient tools for processing and analysing the voluminous data they generate. Additionally, the scattered landscape of available tools and the steep learning curves associated with them can make it difficult for researchers and conservationists to fully leverage this technology.

This project is to develop an application store where researchers can find the tools they need in one place. This app store is specifically designed to cater to the needs of researchers with limited or no software technical expertise, offering an intuitive, user-friendly interface that facilitates seamless interaction with models that assist in analysing camera trap data.

The objectives are as follows: 1. Increase Accessibility for Non-developers community - increase assessbility of camera trap software and its data processing workflow through providing "no-code" interactions. 2. Enhance colloarboations - cnetralised data storage and management within an organisation. 3. Promote Data Standardisation - Advocate for and implement existing standards in data handling to ensure compatibility and interoperability among various tools and datasets.