I've been exploring the intersection of AI and drone, and ended up with the DJI Android SDK writer. Some of you might be venturing into the same airspace too.
Quick Context:
You can actually control DJI drones. Their SDK offers features to control over DJI's drones like flight control and live streaming. It's an awesome toolkit for creating powerful drone-based apps.
What I've Achieved:
- Scanned the entire official DJI Android SDK documentation. 221 pages.
- Search through multiple documents generate accurate, up-to-date code snippets.
- Display GPT answer with URL references to the documentations used for the context.
Why This Might Interest You:
- Intro to Drone: If you're new to their SDK, you can have an overview of their documentations.
- Time-Saving: The AI tool assists in generating code, increasing the accuracy and efficiency of your development process.
- Current and Comprehensive: Gain insights into the latest SDK without having to sift through pages of documentation.
Oops, I've abandoned. Didn't have much expectation of feedback. So, thanks! I've fixed the typo! Hm, executing would be impossible. But I want to make the plan so micro it'd be so easy to follow. It'd be also cool to suggest other AI software for that specific task.
This weekend, I decided to work on a fun little project: an AI extension that can turn your text into dialogues written in the style of your favorite movie character! Think of it as your typical text transformer, but with a twist of cinematic flair. Give it a try and have a blast sending messages as if you were your movie hero or villain :) Would love to hear your feedback and thoughts on potential improvements or other creative applications for this! Suggestions are always welcome. Happy text-transforming!
Jokelub Chrome extension turns your writing into a joke. It's for people who feel insecure about not being funny enough. A little bit of humour goes a long way.
Hi all, it's an app to suggest what to say next on your online dating conversation. As we all know, men suck at texting. But the world is all about online and texting. How the heck are you supposed to flirt when you're busy coding? We need inspirations.
The app flow is: you take a screenshot of the message (Tinder, Bumble, Hinge, etc), upload it to have messaging analyzed, and get a chat suggestion.
I made this Chrome extension that automatically summarizes your article you're sharing on social media like LinkedIn. You copy the link to your "create post" and you will see your post filled with text. You can then edit and share.
Inksprout utilizes the latest AI summarization technique from Google (called Pegasus). It will add more context to your friends/followers, increasing engagement.
Why this project?
I used to have a Twitter account for sharing long-read quality articles. I didn't want to just share the clickbait headline, so I always made sure to include a good quote.
The problem was that it took lots of time. This idea is trying to automate that process. I think adding more context when sharing links are helpful to people too.
OP: Hackernews offers an excellent API via Firebase: https://github.com/HackerNews/API. Unfortunately, their fetch method doesn't offer any way to filter by item types. So collecting all posts take excessively long thanks to all the comments.
Based on the official item API, this focuses only on the main posts with at least 2 engagements. The posts in datasets are about 1.5% of the items returned
With posts as a starting point, you can easily trace the hierarchy from "kids" fields.
Potential Usage:
- Generate popular titles.
- Collect comments in a hierarchical order for further training.
- Analyze popular topics in the engineering community.
- Identify the best time to post for maximum engagement.
It is a simple tool to hide irrelevant post on UI. I needed to use it for prospecting people on LinkedIn for my another project. It can filter feed post by content type of your choice. By default it only hides promotional content.
I also wanted to filter some post containing political content. You just need to enter the keyword to remove.
I used Anki before and that is definitely useful for vocabularies or studying for exams.
To give a context, I read about 10 articles every day. Some users do for 40 a day. At that point, Kaffae becomes more useful as a general reflection. Either way, there's nothing stopping people from using both as it fits their need.
"Reflection enables us to correct distortions in our beliefs and errors in problem-solving." - Jack Mezirow, Columbia University.
I felt so stupid. As a self-taught engineer, I felt I needed to stay on top of everything online, driven by constant reading. But what's the use if I don't remember anything?
This is a Chrome extension that assists your memory on the premise of spaced repetition. It tracks articles read, and give you a daily report.
Features:
- Daily report with read time
- Memory from the old similar articles
- Automating 81 taggings
- Article/book suggestions
- Web interface for search
- Friends' update
I analyzed 46,601 news over the past 3 months from the major US and UK publishers (New York Times, CNN, Forbes, BBC, Guardian). It measures how often the word "coronavirus" is mentioned. The second graph shows how different countries are covered, mapped with the outbreak incidents.
It demonstrates how our attention has shifted more to the virus and jumped among different countries based on the outbreak occurrences.
I've used my project for the data source. If you like to visualize your reading, come check it out (https://kaffae.com)
Is there a better way to track your readings? I've been long dissatisfied with Chrome History. It is almost impossible to find articles I read. They get buried under the jargon of random urls such as Facebook. So I built this Chrome extension.
Inspired by Fitbit for reading, I first shared this project with Hackernews 10 months ago purely as an analytics tool. The challenge has been properly identifying what constitutes articles and parsing content properly for accurate categorizations. Since then, I've been exploring what type of useful information that can be built on top. Its article recommendations became ready for tryout so I wanted to share this (https://kaffae.com) again.
Recommendation features include an algorithm that caters to longer time-insensitive content, and an ability to walk through related articles directly from the browser page you're on.
Tracking/Analytics features are to understand how much you read in a given week, both the number of articles and time spent reading, automatic tagging of your articles into 81 categories, categorize your articles by publishers, sentiment analysis (negative vs positive) of the content you consume, and a goal settings for a gamified reading.
Who is it for?
You read about 10-80 articles per week. You read on a laptop (obviously). And this tool may be great for those who pay for publishers and want to check how much of their contents you consume.
Future possibility includes podcast recommendations based on your article readings and/or reviews of articles/publications especially of long-form ones.
His story speaks on multiple good points: startup lessons, music loyalty, subscription vs ads, different content discovery methods, and how Spotify dominates today.
No wonder when I visited Georgia (country), they had more Thai restaurants than Chinese restaurants. That's unheard of coming from the North American background.