Team details

Team members

Project details

Describe your product and your key goals

<aside> <img src="/icons/fish_blue.svg" alt="/icons/fish_blue.svg" width="40px" /> Rumah Fish is a science-based targeted approach with an innovative Site Selection Process combining Particle Tracking Modelling, AI & Machine Learning for Trawl Mark Identification with Multi-Criteria Decision Making (MCDM) analysis, Fish Study, and Efficient Artificial Reef Design (AR), Fabrication & Deployment for Successful & Cost-Effective AR Building for Fisheries Enhancement and Bottom Trawling Deterrence.

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<aside> <img src="/icons/bullseye_green.svg" alt="/icons/bullseye_green.svg" width="40px" /> What you want to achieve by March 2025

Small artificial reef with 10-50 modules, designed with input from a limited fish study and deployed at a site with input from a limited site selection study, with a ready playbook for scaling up locally and regionally. </aside>

Describe what you need the most

<aside> <img src="/icons/bell-notification_pink.svg" alt="/icons/bell-notification_pink.svg" width="40px" /> Describe the kinds of help you need the most (funding, expertise, technology, access, etc).

Funding to do more intensive fish studies and site selection
Expertise to help the success rate for different waters in the region
Technology that will allow scalability to reduce manpower usage with high accuracy
Corporate partners around the region will increase the capacity of our studies to get a more holistic approach
Access to marine data to accelerate the process </aside>

Describe your customers and the problem you are solving

<aside> <img src="/icons/brain_blue.svg" alt="/icons/brain_blue.svg" width="40px" /> Describe your target customers

Governments
Aquaculture
Marine conservationists </aside>

<aside> <img src="/icons/emoji-disappointed_pink.svg" alt="/icons/emoji-disappointed_pink.svg" width="40px" /> What pain points are you trying to solve?

Pain points: