CSIT 441 Final Project


     For my AI final semester project for CSIS 441, I will be completing an AI for determining best decisions and practices for fishing.

     With fishing being such a competitive arena, having an edge on your neighbor can make all the difference. From almost the dawn of Mankind, Humans have been fishing for survival. The best practices have been passed down from generation to generation, which has caused an area of opportunity now with the growing diversity of AI techniques. With fishing "secrets" being passed down from father to son, many wise tails and exaggerated stories have been produced due to this custom.

     What my project will do, is gather all information in regard to the user’s current surroundings (weather, water temperature, location, lunar calendar, season, water clarity conditions, ext), and provide suggestions based on the users input. What will make my project differ from just a decision chart, is after a fish is caught, that information is logged and future fishing predictions will be made using the information gathered regarding current surroundings, as well as past successful suggestion outcomes.

     The biggest challenge to this project will be obtaining a large enough sample data pool. This will hopefully eliminate the randomness of fishing, allow for more precise user decisions, and produce the best possible outcome with the surrounding conditions.

My next step will be to select the best AI algorithm, and develop the interface for the user’s data to be collected.




Comments

Post a Comment

Popular posts from this blog

Project Update

To help solve the problem of lacking data, I have enlisted several seasoned fisherman to help log their catches and send me the relevant data. This has helped some what, however just as with most data mining, there's never truly ENOUGH data. At this point I am at 10 ACTUAL logged fish catches. This is defined as, a fish was caught this year using the defined specifications (must be fished from shore, using the same lure for less than 5 minutes, ext) and all relevant data was captured. The main reason for the lack of successful fish capture data points is the weather. It has been unseasonably cold this year, and especially due to the recent blizzard a few weeks ago, fishing has became very difficult. The only "reasonable" way to solve this issue by the dead line is to use historical data from last year. This data would be coming from pictures of fish caught by my self last year, which I can remember the lure and conditions which the fish was caught in. I feel that this met...
Read more

Current Conditions window

Image
For final section of my project, user will be able to select an option to allow for the application to suggest lure based on the current conditions. The user will be promoted to enter Air Tempature, Wind Speed, Sky Conditions, and Water Clarity. For Air Tempature, the options will be: "Less Than 60", "60 - 75" and "< 75". For the Sky Conditions field, the options to select will be: "Clear", "Cloudy", "Rain/Mist". For the Wind Speed field, the options the user will be able to select will be: "Calm", "Moderate" and "Windy". For the final section Water Clarity, the options the user will be able to select will be: "Dirty", "Visible > 3 feet", "Clean". Once the user has completed these 4 fields, they will be able to submit this information. The application will then find previous historical fishing experiences that match the provided criteria and select the 3 ...
Read more

Lure Orical - Conclution

Image
In conclusion, after completing my final project, I have had some time to reflect on the process, challenges and results. The Process to design my Fishing Lure Orical application was to write something that I would use for my self. I felt that if I wrote something to satisfy a need that I, myself had, then other people would find it beneficial as well. I feel that the process of my thinking, how I choose to design the layout and the functionality of the application was close to spot on. It is easy to say that however, with myself being the target user. However, after speaking to several avid fisherman, they feel that this application would be something that will benefit them as well. In regards to the challenges of my project, I would say the 2 biggest challenges was gathering a large enough sample size and designing an algorithm that met not only my personal requirements, but the class requirements as well. The algorithm I choose could be viewed as simplistic, however at the tim...
Read more