Add 21 voice notes with transcripts and annotations

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-I'd like to consider a wee factor and then just give me your thoughts about this so currently it's a file based backend what I was wondering is would it make more sense to have a lightweight database backend SQLite let's say and and the important part of the utility which is the Hugging Face dataset push is what I'm using for the classification model would actually be a job whereby locally it will create the dataset from the local backend.<br><br>In other words, rather than having this sit in place as files, it's going to be constructed periodically. Basically when I say okay I've uploaded another batch, let's push, would that be easier and more logical to integrate with the front end?
+Okay, I'd like to create an app which does the following. The purpose of the app is to visualize how different countries, ideologies, systems approach common policy challenges. An example of a policy challenge that I'm just providing for explaining how I could see this working is second-hand smoke control. Some countries have very strict regulations, some countries have very lax enforcement. And probably there is not really much distinction by system of government but the user prompts it called policy visualizer and the user enters a policy challenge. So another example might be minimum alcohol purchasing laws.<br><br>Once Gemini receives this prompt, its task will be to research how different countries in the first instance approach this topic. And from that analysis, it can identify commonalities or clusters. The research process happens in the back end. And the user is shown some kind of progress indicators like researching what it's doing basically. Not a huge amount of verbosity but just a few cues so the user knows that it's not stuck or it's actually doing something.<br><br>Once Gemini concludes its first pass it will have grouped not necessarily every country in the world but based on the clusters it identifies it found groups. Each group is given a label. The label might be laissez-faire, permissive. These may be either recognized labels or what Gemini feels it's best to describe them as. And the countries are displayed with their national flags in alphabetical order.<br><br>The next functionality is that the user can click on the cluster and Gemini will describe what it is about this law that it considered them to be a cluster. In other words, the way in which they approach the challenge. That's a modal. Then the user can click on any country and it can see how that country approaches it. So I might click on the flag of Germany and either an accordion or a modal it show how Germany approaches in this case gun control and its cluster.<br><br>Country level is always a tab and only if there's other taxonomies. By taxonomy I mean that we think there's a very, Gemini says there's a very big difference and how different right-wing versus left-wing approaches we're going to do. We're going to create one more tab with that. But that should be kind of only if there's very compelling reason to do so. Or if it has significant data to share. So if it feels like there's enough data about how US states approach an issue at the state level, it might create a tab called US States and then follow the same pattern in which it groups them into clusters.<br><br>The objective is to, rather than searching through Google to see how different countries do different things, to start with your question and then get this visualisation. And I think the icing on the cake would be an analysis. So this is a visual presentation and then there may be analysis showing significant differences, some similarities. So there's like a report, a textual report, but the main tab, because I think it's the most interesting one, is the visualization, the policy visualizer.

transcripts/uncorrected/10.txt

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+I'd like to consider a wee factor and then just give me your thoughts about this so currently it's a file based backend what I was wondering is would it make more sense to have a lightweight database backend SQLite let's say and and the important part of the utility which is the Hugging Face dataset push is what I'm using for the classification model would actually be a job whereby locally it will create the dataset from the local backend.<br><br>In other words, rather than having this sit in place as files, it's going to be constructed periodically. Basically when I say okay I've uploaded another batch, let's push, would that be easier and more logical to integrate with the front end?

transcripts/uncorrected/11.txt

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+Okay what I'd like to do is create an application with Gemini. The user will upload their resume and upon receiving the resume the purpose of this application is to ideate and many more. So, I'm going to show you how to create jobs, positions that the user might be suitable for. It could be what they've done previously or an extension of that, but it would also try to suggest alternative directions, as in slide pivots or rigby pig pivots.<br><br>They'll frame its suggestions with job title as in if the user uploads their resume they'll say oh you could be an AI product manager, salary range for this position. The user might also maybe the user should provide where they based though that should be obvious from the CV. So try to contextualize that by their area demand who hires for it analysis why this could be a cool job for you. Knowledge gaps slash upskilling, how you might want to upskill to qualify yourself for this job. Keywords that this job might be that you might find opportunities using these keywords. A certification, certifications that I want to pursue.<br><br>Then a kind of a Tinder interface, and so on. So, it's a really nice, thumbs up, thumbs down, and those are recorded in memory so that the user can go back through the suggestions that it liked. So it's kind of a career ideation tool really, career pivot ideation tool for the user to explore alternative directions if they're feeling like they might not be thinking very sufficiently widely about what it is that they could be using their skills for.

transcripts/uncorrected/12.txt

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+Here's an idea for a product I had. Tell me if you think it's ridiculous and if something like this has been attempted. So, speech-to-text transcription is amazing and I've become very dependent on it for voice typing. Unfortunately, on Linux and specifically, it's really tricky to find something that works at the operating system level. There are tools for Windows and Mac, and what I really need is something that will do it in any program. Not a browser extension, not an IDE extension, because then you're forever looking for does this tool have voice support. And you end up having, like what I have now, three or four Whisper subscriptions.<br><br>And many more. And you free yourself from the keyboard literally, you begin to want to use it at all your computers on my laptop. And some of them, my desktop can run a whisper, my laptop really can't. And you don't want to be spending a bunch of time provisioning separate environments.<br><br>So my idea is for a mini PC, think something like the Raspberry Pi or Orange Pi, but not presented as an enthusiast product so much as a little edge device and many more A box for all intents and purposes which runs on device a very efficient speech model like Whisper and it does on hardware local inference. Everything is optimized for this one workload. It has a USB out and the USB out it functions as a HID device and it sends the transcribed text and so on. Influence on the device and straight out USB.<br><br>What this means is you can plug your voice keyboard, which I think is obvious name, into anything. You can have it bound to your desktop for most of the time, you go away for traveling for a while, you pack your box. So it's really analogous to a keyboard.<br><br>Now what I was thinking to myself as a stupid idea is yes, you could do this stuff on device, you could use Claude, maybe it's too niche. But it could be quite creative for people who are really into voice typing and want a way to. And if it had Bluetooth support, your little box, your voice typing centerpiece could also work with your tablets, your phone and you could sort of extend around it.

transcripts/uncorrected/13.txt

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+Another idea for Gemini app. Recipe modifier, you get a recipe. Gemini parses the recipe, structures the data. Then, using a nutritional database, attempts to calculate the total fat per serving and the fat per ingredient.<br><br>Then, this is an app for people like me who are trying to adhere to a low-fat diet. It remixes a recipe to either achieve a certain fat amount, as in under X grams of fat, or to just make a general reduction within reasonable bounds while still trying to keep the recipe the recipe.

transcripts/uncorrected/14.txt

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+Google ID8 to Try would be one of the apps that connects with the Google Workspace services. Which I don't know, maybe they've circumvented their general cautiousness.<br><br>Like voice to email. You send an email, you record a voice memo, it transcribes it, it checks your contacts, it generates an email, it shows you a draft, is that okay, and then it sends.

transcripts/uncorrected/15.txt

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+I'd like to create an app that does the following. The user will paste an image or multiple images into the image upload feature. It'll run it through Gemini and it will attempt to extract the following fields: Serial Number, Model Number, Manufacturer, in a text field it will OCR readable text, Country of Manufacture.<br><br>And then based upon the detected product, the manufacturer and the part number and the serial number, it will provide a one line description, it will provide a multi-line description, it will provide a spec sheet. It will provide a year of first released on the market, age in years based on first release minus the current time, correct to the nearest 8.1, one decimal place.<br><br>And deprecation level from almost deprecated, fully deprecated, RRP, still on market, the last of the checkbox. So it'll basically take an image and then extract all these fields based on the initial OCR and then based on the web search complementing that.