1) Who I am: I'm a nerd who loves 3d printing and robots and AI and all things cutting edge tech, yet my job right now is typing prescriptions all day while I daydream about robots and machine learning. I feel like a robot should take my job and I feel like it can do so feasibly and open up gateways to other options such as handwriting detection in general. I'd more be interested in the AI than entrepreneurship though. 2) What does it do: It transcribes prescriptions automatically and a company using it only needs to use human error checking rather than an entire central utility technician fleet. 3) The consumers: at first just the pharmacists and the pharmacy industry, but once the algorithm gets good at reading doctor chickenscratch, it can be used to transcribe generic handwritten notes like for students. 4) Why they should care: don't have to pay for the central utility humans' wages, and also the notetakers would save time in transcription. 5) What's different: Technically I don't have anything that anyone else doesn't have access to or could do, but nobody has attempted to implement AI handwriting recognition technology into central utility pharmacy stuff, and with millions of correct training data for the algorithm, it can be trained easier than one would expect. I believe my elements all fit together because it's very specific to one industry with some potential in other areas, but probably the weakest point would be the actual difficulty in the initial accuracy of the training algorithm and the time it takes for it to train it and error correct. One would need a research team before a entrepreneurship team.
1) Who I am: I'm a nerd who loves 3d printing and robots and AI and all things cutting edge tech, yet my job right now is typing prescriptions all day while I daydream about robots and machine learning. I feel like a robot should take my job and I feel like it can do so feasibly and open up gateways to other options such as handwriting detection in general. I'd more be interested in the AI than entrepreneurship though. 2) What does it do: It transcribes prescriptions automatically and a company using it only needs to use human error checking rather than an entire central utility technician fleet. 3) The consumers: at first just the pharmacists and the pharmacy industry, but once the algorithm gets good at reading doctor chickenscratch, it can be used to transcribe generic handwritten notes like for students. 4) Why they should care: don't have to pay for the central utility humans' wages, and also the notetakers would save time in transcription. 5) What's different: Technically I don't have anything that anyone else doesn't have access to or could do, but nobody has attempted to implement AI handwriting recognition technology into central utility pharmacy stuff, and with millions of correct training data for the algorithm, it can be trained easier than one would expect. I believe my elements all fit together because it's very specific to one industry with some potential in other areas, but probably the weakest point would be the actual difficulty in the initial accuracy of the training algorithm and the time it takes for it to train it and error correct. One would need a research team before a entrepreneurship team.
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