Public Feature Requirements IV
Last updated
Last updated
We need to find the best internet speed by comparing multiple png files.
Sample
Create an image like below for Turtle score screenshot
We need to collect investor data and do analytics like their hobbies, emails, connections, etc.
Analyze LI Info and get insights from it.
Sample profile:
https://www.linkedin.com/in/codysimms/
Content:
I'm currently 100% focused on developing a deeper understanding of climate change and sustainability, and understanding how Techstars can coordinate our efforts in this critical space across our global network.
Full bio:
Cody got his start in tech in 1999 when he moved from Kansas to San Francisco after college, trying to find a job with his Mandarin Chinese language skills and instead accidentally fell into the dotcom boom at a pre-IPO startup, Snap.com.
Today, Cody is a Partner and Senior Vice President at Techstars and is working to build our practice in sustainability and climate change. Cody works at the board level with companies including WELL Health, Tasso, Voatz, LevelTen Energy, and Two Bit Circus.
As of December 2019, Techstars has $550M USD under management and operates ~50 startup accelerator programs across the globe, investing roughly $90M USD per year into ~500 startups annually via that footprint. Techstars has operations in over 30 geographies globally from Los Angeles to Minneapolis, Atlanta to New York, London to Berlin, Lisbon to Abu Dhabi, Singapore to Seoul, and many geographies in between. Techstars runs many of these accelerator programs in partnership with some of the world's top organizations including Amazon, UnitedHealthcare, The Nature Conservancy, Comcast, Cargill, and dozens more. Techstars has been a first-round investor in eight companies valued at $1Bn USD or more and the Techstars Accelerator portfolio has gone on to raise over $8Bn USD in follow-on capital.
Previously, Cody was Executive Director at Techstars and head of Techstars accelerator investments and operations in North America, which grew to more than 20 locations across the region and ~200 investments per year during his tenure. Cody joined Techstars in 2013 to launch and serve as Managing Director for the Disney Accelerator, powered by Techstars, co-investing in 20 startups alongside The Walt Disney Company in 2014 and 2015.
Earlier in his career, Cody held roles including Chief Product Officer at StumbleUpon, Vice President of Product Management at Yahoo, and Product Manager at The New York Times, Sprint, and NBC Internet / Snap.com. Cody holds an M.A. in Transnational Communication and Global Media from Goldsmiths College, University of London, and is a Phi Beta Kappa and Summa Cum Laude graduate of the University of Kansas with a B.A. in History and East Asian Languages and Cultures with emphasis on Mandarin Chinese.
Consume Webhook in python and verify it
Create a custom web hook like this
We have videos files updated on Vimeo. You need to create a thumbnail better than Vimeo and other third party tools.
JUGI (Just Google It) Automation
We need to use the Socket to automate our Just Google It. It should convey the score for the team each time.
Admin should be authorized by Google login.
I need to create a page like this
I need to remove those extra entries like py_0
Simple CRUD on CSV file by using pandas
A: 5 Stock Symbols 5000$
B: 5 Stock Symbols
Projection weekly, monhtly (2 months) Real data weekly, monthly (2 months)
Input 1: There are 4 monitoring tools send different alerts based on the predefined criteria. These alerts are sent to the respective support email IDs. Support team is expected to take action for these alerts.
Current challenge : Since there are lots of alert received every day, it's become tough to track how many received and how many addressed.
Expected solution : A tool to read the emails from specific sender and store it in a Local DB. While storing have to store received data and time, sender, subject line in a different column
Input 2: *received date & time
Output: There are 4 monitoring tools send different alerts based on the predefined criteria. These alerts are sent to the respective support email IDs. Support team is expected to take action for these alerts.
Current challenge : Since there are lots of alert received every day, it's become tough to track how many received and how many addressed.
Expected solution : A tool to read the emails from specific sender and store it in a Local DB. While storing have to store received date and time, sender, subject line in a different column
Derived from famous vadivelu diaglogue: Idhukku mattum kathutha andha Balli!
Derived from famous Vadivelu dialogue: Idhukku mattum kathutha andha Balli!
Priyanka Chopra never talked about the caste issue in India and never tweeted about it. She cried over racial issues in the USA because she wants to get some global attention and then she is acting like she is an activist. But she is a marketer and fake activist. This is what we believe. This may not be right. But we need to collect this information and see how these people take advantage of the situation to gain more reputation.
I have a file like this. I need to find the empty line by using python.
How much LatePoints you got?
If less than 2 persons waiting, always 0
If more than 3 persons waiting, Senior Manager - 8 Manager - 5 Team Lead - 3 Developer/Intern - 2
I need an app to calculate the LatePoints so we can archive the details.
TP - Expected: ML Jobs
TN - Expected: Accountant Jobs - I won't see in my email
Unexpected: FP - Unexpected: Missing ML Jobs (they assumed it is Accountant jobs)
I won't see it in my email
FN - Unexpected: Spam - Showing Accountant Jobs They thought this is an ML job, but it is not.
Random: 10 ML, A, ML, Precision, Recall
NeuvooWrapper: Kill spam and send only ML Jobs
Your password must:
Contain at least 8 characters
Contain unique characters, numbers, or symbols
Not contain your email address
Different from your previous 4 passwords
Give the link of the webpage and get the screenshot as output.
Recommend movies from OTT such as Netflix, Amazon Prime based on the current emotion of the user.
Sample Source:
Find the topic of the post using Hashtags used in Reels, Moj, etc.
Generate 30 relevant hashtags based on the topic given in input.
Predict the emotion of the user by reading the hashtags used in Reels. (Using ML)
Read the handwritten text in the image and convert it to normal text.
