Public Feature Requirements III
Last updated
Last updated
Do some ground research on CRI-o and summarize it.
Links:
https://github.com/cri-o/cri-o
https://kubernetes.io/docs/setup/production-environment/container-runtimes/
https://kubernetes.io/docs/setup/production-environment/container-runtimes/#cri-o
Container Runtimes: CRI Docker RKT https://coreos.com/rkt/
What is POD? https://kubernetes.io/docs/concepts/workloads/pods/#what-is-a-pod
Do some library research on Nemo and write an article about your collection. You must have done at least 10 hour research to finish this task.
Do some library research on CG/SQL and write a medium article about your collection. You must have done at least 10 hour research to finish this task.
TactIndex: Stack Index + Other criteria
https://landscape.cncf.io/category=cloud-native-storage&grouping=category
The visual should be in this format
GishML: (Applicable for Wiki page) This command will check my previous changes in Wiki and suggest me the message info for Git
Convey News in comical ways:
Sample: Eyes on the Pfizer! always Ideal: https://likeshop.me/businessweek
Cricket Commentary with NLP
Automate the Cricket commentary for each ball
Auto Subtitle vs Human Subtitle
Justin Bieber - Sorry (PURPOSE : The Movement) https://www.youtube.com/watch?v=fRh_vgS2dFE
Check how much % the auto subtitle varies from human subtitle Try with YT Subtittle, Google and AWS
Dua Lipa - New Rules (Official Music Video) https://www.youtube.com/watch?v=k2qgadSvNyU
vs
Justin Bieber - Sorry (PURPOSE : The Movement) https://www.youtube.com/watch?v=fRh_vgS2dFE
Compare these songs for the next 7 days
Timeseries: 1. Every 15 mins collect the views by using Python 2. Store them into any Timeseries DB by using Python 3. Give me a report which Song would get more views
Tools/Libs:
Use Anaconda/Miniconda and Python 3.7+ environment
Use VSCode
Collect song Lyrics from a running video (assuming the video has subtitle)
Use any video ML algorithm to get the subtitle
Controversary meter
There are a lot of outcry on this topic like WSJ should not have diminsh Jill Biden like that. We have to measure topics like this and give a meter for these topics.
Misogynist meter
Measure the article whether it is too Misogynist or not with 1-10 meter.
Generate fake Ontario address which is not available by searching online. But it should be legit when we enter address on some websites.
Trendy Marketing content for LCBO products
LIFX Color Shuffler:
Change LIFX based on the Spotify song
Get the dominant colors from the song/album
Supply the colors to LIFX API
Get the dominant colors of a song in Spotify
cURL to Postman converter
Convert this to Postman API
Make Nayanthara clock like below
Come up with your own creativity to show Nayanthara faces or movie characters to show Nayanthara in the clock.
Sample:
https://featurepreneur.github.io/nayanthara-clock/
Make a clock with Chemical element names to show your creativity.
Do some research on MinIO and come up with a POC with it.
Archive Pricing history
My Netflix subscription changed from 12$CAD to 18$CAD over 7 years. I will have to create a simple app to collect these public info.
Netflix, Hulu, Amazon Video, Instacart, etc.
Know Your Rights (KYR)
Create a simple ML Feed engine will send user some information daily about worker rights with fun content involved.
Target Audience: New Immigrant in Canada
We will create this as a plugin and try to set it through Featurepreneur
I need to setup my blogs like this
Do some ground experiments on Play with Docker and summurize your experiments.
Compare TV shows/books/movies like this
Do some ground work on PM2
Write a scheduler in PM2 to collect data regularly by calling Python script.
If you see the rendered html, it has issue like
We have to analyze how many pages it is rendered like that and then make a report to them.
HMTL Mis-rendering archive
Archive HTML mis-rendering pages like in FS1227 and then store them in the DB. Show a report with Flask and Jinja.
We need to replicate this password checking as a small UI page.
We have to save errors like this and predict the revenue drop for Best Buy like companies.
We need to collect various ML candidates' titles to understand how did they migrate from other industry to ML.
We have come up with TactML Score to identify researchers like Yoshua Bengio
Criteria: Independent Research Visionary Meter
Classify tech or non-tech video among 10,000 videos.
AI Info maker
When we play this video, it shoud show
"Harry Shum might have graduated his school in 1980s"
"HS might have gone to USA for AI learning in 1983"
Everything must be based on the video content and we should not search things online.
You need to convert this video to text with Amazon, Google, MS AI tools and do a benchmarking which one is more accurate.
You can start with a sample 2 mins audio as a sample work.
Collect 200 research papers Topics 1. ML 2. NLP 3. DL All these papers should be in PDF format Sources: 1. Neurips 2. Research gate 3. Google scholar 4. Arxiv
Find 300 North American ML Researchers
Data Collection
Get random food images and convert it as an API:
Featurepreneur Analytics have to created
https://avatars.alphacoders.com/avatars/random
Get random avatar links as an API.
Classify random avatars as male or female
https://avatars.alphacoders.com/avatars/random
Speed - Country - Years
Find the historical numbers of vehicles' speed limit in various countries from the day vehicles introduced.
Show a graph of them
https://github.com/powerline/fonts
Write a simple script to clone (or download) and then install in Mac via console.
Using Python capture the website page
Find architecture diagrams like above from tech videos
sample video
Calculate various countries' aggreate efficiency and create a visual with them.
Aggregate Efficiency: USA got 3% Germany got 18% Japan got 21%
Source:
Create 3-7 lines about each tech video. Try to automate with NLP highlighter. Measure the accuracy
Show visual of USA double standards:
Sample source video https://www.youtube.com/watch?v=6ZH0bwUuT_A
Do a sample work with QGIS
QGIS tutorial:
Support Isabella https://www.youtube.com/watch?v=7GkFzcUJTk8
Do some visual based on Isabella's story.
Need to come up with a simple PublicValidator page
Validators neeed:
GitHub secrets
https://docs.github.com/en/free-pro-team@latest/actions/reference/encrypted-secrets
TD Password
Anonymous Site
Adobe Password
Tact ECS Chatbot
You have to create a Chatbot for ECS. Whoever wants to know about ECS, they can learn from this chatbot.
official names: ClassicTesti
In the above content, find the marketing content and highlight them by using NLP.
Show a table/visual for various library versions and their release date
It's hard to view the Google Form without navigation. If you could improve the viewing option by Left, Right Nav it would be great. You will have to read the Excel sheet in Python and show the viewing page
We need to find how many open source contributors in South India and Ontario and compare them regularly.
We need to increate the open source contributors count in South India. This is the ultimate goal of this project.
Do some visual about this topic.
Make a visual as this image.
Do some ground work on TinkerBell and write an article about it.
Encoption - TBD
LibAlerts - TBD
Be careful out there: LinkedIn is infested with fake profiles. Out of thousands of invites I've received, hundreds have been fake. How can you recognize a fake profile?
Fakers use patterns and make mistakes that give them out. Here are some examples:
You can't find the same person elsewhere with a simple Google search.
Their work and education history is from large institutions with no unique details.
The name and professional summary are generic.
Participated groups and pages don't show a unique history.
Historical participation on posts doesn't exist or doesn't fit the background or location.
The friend list doesn't fit the background.
With Google image search the picture is elsewhere with another name. This is less useful today because it is so easy to generate deepfake images.
The image below shows a fake profile that has gathered 413 connections, many of them Finns. The name is generic, lacking surname. The photo looks like an image bank model or a deepfake. The study program she claims to participate doesn't exist.
Have you recognized fake profiles among your invites yet? Any other ways you have used to recognize a fake profile?
source:
Do some ground work on this library and show a proof.
Analyze AWS Invoices and recommend us
Clone this graph with any javascript library.
Analyze these documents by using ML algorithms and show me only red/green flags. Highlight the important things as points not paragraphs.
Keep a lingo like urban dictionary but only for you and your friends circle. Keep Login to keep it private and share with your friends.
Based on the sentence you provide, we need to find the episode. You can use script page like this https://subslikescript.com/series/Two_and_a_Half_Men-369179 and then get the episode.
Collect table from any wiki page
Wikipedia for tables alone. Show any content in table format
Out of Andriy's total posts, show how much % of ML contents are there. Show by week, month, year etc.
Bank Employees' role update from HR is not updating the Booking place.
This issue has to be resolved
Provider Info: Role: Software Developer in one of the major banks in Canada Location: Toronto
Bank Loss, Recovery reporting is very slow it is hard to get the historical data.
This issue has to be resolved
Provider Info: Role: Software Developer in one of the major banks in Canada Location: Toronto
Chatbot for backend business people which is related to tools, access related, software related
Provider Info: Role: Software Developer in one of the major banks in Canada Location: Toronto
I need to blur the responses by ML
Gmail/Github Login should be used
Without logging, i shoud be able to give score
IP should be stored in the DB
All entries should be dumped from Excel/CSV to MongoDB
Tables:
Learning_Challenge_Entries:
Name
EntryLink (unique)
Content
Added_at
LCEntry_Score:
LCE_id
Scorer_ip (unique)
Scorer_email (unique)
Score
Added_at
Sample entries:
Phase 2:
Keep a separate table for Name and connect with entry table
Find similar TRAP (Tamil Rap) songs and measure them with distance
We need to collect Gas price in different countries
Create a quote maker like this.
Each Youtube video will be summarized by the crowdengine
Tech videos
NonTech videos
Startup videos
Stock market videos
Every 4 am I have to read a file and print it in the console.
Receive set of files at particular time, suppose it is modified today don't touch it. Or else, put it in destination folder.
Keep different time for performing each file.
User give url and our Flask app will generate qrcode User can able to download it as image.
Daily logs should be pushed to git at 2 am daily. 1-way commit.
Choose what template you need flask/html/DB get the file generated
All share their on call timings in that app
User upload audio and it should be saved in Google Drive / Database
Select the IDE you want get the shortcuts/features(Live server in VS) .docx downloaded
Suggest the topic you want to learn for learning challenge like Docker,Flask,Jinja and also can suggest sub topics in that
User-friendly bot to reminder you of things like alarm to get the motor off, drink water, etc..
Client has 4 mp3 files.
Out of 4 mp3. One mp3 has more than 20MB.
Write a flask app to drag and drop to upload the files. Reject 1 file which is more than 20 MB Other files have to be uploaded to /static/Uploads
Analyse person's mood and predict how they'll react
Choose the programming language, get the interview Qn .docx generated
Integrate with Praabindh wheel, with random challenges
When user enter into app it will shows random joke
It shows the today and upcoming events. If they got subscribed it notify them by mail
Sample password: WebLabsFraserMo8$8*
Password format:
<SomeLabs><TownFirstName><StateCode><Number><SpChars>
Simple Mp3 downloader from custom website
Assume your client website has some mp3 files in a web page. you need to download them by using simple python code. Automate the process by using BeautifulSoup.
