Additional Conclusion Post

For a demo of my application, please see the link below. 


For a conclusion to my AI project, there are a few things I would like to reflect on.
The first would be the topic of lessons learned. Thinking about what I have learned as a result of this project, there are quite a few things that come to mind. The biggest single thing that over shadows the other lessons would be the topic of search algorithms. This was something I really did find fascinating during my AI class lectures. However, until I actually started to develop an application that could benefit from an AI search algorithm, I was unable to appreciate how complex, and important those concepts were. Also, after developing my project, I did find that most search algorithms work best for a tailored problem. For my project for example, a Monte Carlo search algorithm would be too complex, simply because that is tailed for huge data sets, and would be largely inefficient.

     For the second topic I would like to reflect on, is the idea of whether or not another student could use my idea for this application and implement it on their own. The simple answer is, yes. I believe that the idea of storing information to make future decisions is something very vague and general, which is great because it can cover so many different areas of life. I feel that this project I have chosen holds allot of potential for future students because it does have a random factor to it, however just with most things, I mainly holds a loose pattern that which some reasoning can be uncovered. I feel that if another student were to try to implement my project for their own in the future, I would suggest to think hard about how they will get their fishing data set. The second thing I would suggest is to think about using an algorithm that does not require allot of data. This could include any of Naïve Bayes Classification algorithms.

     The final thing I would like to reflect on is how I feel in general about the results of my project. I feel that my project was a result of my passion for fishing as well as for solving problems in an efficient manner. This is both a benefit and a detriment to my project. I feel the background information on fishing lures was a key component to the successful implementation of my project. However, I also feel that due to this passion, some of the more technical aspects could have received more attention. If I were to do this whole project again, I would still choose my same project. However, I would revisit choosing success rate as the key metric for determining a lures performance. I also I wish that I had the foresight to know how much of a challenge obtaining a consistent data set was going to be.

     In conclusion I am proud of the work I have done on this project. I feel that just because someone has already tackled a problem, does not mean that they have chosen the best solution. Everything can be improved upon. So when it comes to all of the fishing forecast apps and software that is already on the market, I feel that I still have made some sort of an original contribution by, what I feel was, an original idea of lure classification in  parallel with self-improving data sets.



Listed below are references I have used for information related to my project. 

https://www.bassresource.com/hank-parker-fishing/spring-lures.html

https://www.bassmaster.com/blog/how-choose-right-lure

Images used in my project are credited to:

http://ceocoachinginternational.com/2016-crystal-ball-exercise/

https://www.istockphoto.com/photos/fishing?excludenudity=true&sort=mostpopular&mediatype=photography&phrase=fishing

http://capeandislands.org/topic/fishing-news

http://www.flashfishingtackle.com/

https://pixabay.com/en/photos/fishing/

http://bestbassfishinglures.com/

http://indianafishguide.com/bass-fishing-lures/

http://rumbadoll.com/online-fishing-store/spinnerbait-fishing-lure/the-original-spinnerbait/

https://www.riverplateanglers.com/my-favorite-peacock-bass-fishing-lures/

https://www.fanatikbaits.com/blogs/blog/5-best-bass-fishing-lures

https://www.aliexpress.com/item/Mini-Simulated-Frog-Fishing-Bait-55mm-8g-Soft-Hollow-Body-Bass-Fishing-Lure-3D-Eyes-Topwater/32696767754.html

https://www.booyahbaits.com/booyah-boo-jig

http://rumbadoll.com/online-fishing-store/bass-jig-fishing-lure/jig-n-doll-bass-jig/

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