Tasmania has Australia's best marine resources, not only a beautiful landscape but also a richness in fishing resources, a potential area for tourism and economy to the whole state. But fishing amateurs and tourists might have no idea where it’s the best place for fishing and find difficult to start, with all the rules and regulations. What’s more, the only application provided by Tassie official is pretty boring, with tons of text format and a difficulty to find exact information. That’s why our mobile application comes in very handy. We want to provide a fun, safe, regulated fishing experience to our customers, in particularly promote the development of the local economy through recreational fishing.
What it does
We provide all-in-one fishing guide service to customers and real-time data to institution. First, heat map about the amount and category of fish in a view, similar to Pokémon Go. Besides, the warning information about certain fishing spot, like rock fishing may not suit a family with children.
Second, predict the perfect time and fish spot based on the customer's current location. And according to the real-time fishing variables, send alerts to customers in case dangerous situation such as in intense tides, waves and strong wind, when they are occupied in fishing.
Third, after catching up any fish, customer can use build-in AR technology to recognize which kind of fish and also measure the size of fish to ensure it reaches the regulation limit.
What’s more, it can give some cooking recipe recommendations for the caught fish. For example, some Australian just throw mackerel away thinking this kind of fish isn’t worthy cooking at all, which in fact have been main marine products in Japan.
Firth, customers can also see a list of the hotels, Airbnb houses and also the fishing gear around the fishing spot or their current location to enjoy fun day fishing.
In addition to that, we will build a community within our app , where customers can post their fish harvest and find fish buddy online.
Last but not the least, once our customer uses our features like AR measurement or recognition, the data about fish in this spot is updated to our database, which we will send to Institute for Marine and Antarctic Studies for further studies.
How we built it
Firstly, we came up with all the function and their feasibility. Secondly, we need to find the data resource, which our App relies on to generate the heat map model and also prediction. Third, Java is the main languages we plan to use to build this application and then build a prototype to test the accuracy of data model and prediction.
Challenges we ran into
We could get the data from weather forecast sources, but we might do some experiment, learn from some fish app, and also analysis our users' data to draw a perfect pattern for fishing.
Accomplishments that we're proud of
- A more interactive way to provide fish spot information and also use AR technology to reduce the cognitive burden on users
- Concern customers safety by providing a warm reminder.
- Once our app is cost-effective, the main running cost would be cloud service fees which rely on the workflow of users.
What we learned
Real interviewing with users is really rewarding. We really talked to some Tassie about their fishing habits. The features like danger predicting alerts and cooking recipe suggestion were actually brought by them. We also realize data is a valuable resource in the IT world, by which we can utilize to implement big data to predict patterns of above-average fishing results.
What's next for FishGo
After we launch this application and get more exposure to customer, we might extend our database to mainland Australia, supporting more cities and also negotiate more sponsorships. For instance, we could consider co-operating with local restaurant near the fishing spot, which offers service of cooking fresh fishes from tourists, because we know some Aussies may not into cooking.
In the later stage, our data might be enough for the institution to forecast the growth or the level of production about certain fish.