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Interview Assignments

Note:

  1. Crop image by using Python 
    A folder of images with border on all sides of the image will be given. The task is to remove the border and get the cropped image.
  2. Anyone Clock in Python 
    The task is to automate the creation of a clock with each time replaced with the images of a given celebrity. The images of the celebrity should be cropped as a circle in such a way that their face is in the center of it. The positioning of the images on the face of the clock should also be done automatically by the program.

  3. Unique Model Finder

  4. S3 Viewer

  5. Module finder 
    A python file will be provided. The task is to write a python program to find all the modules required to be installed to execute the given file.
  6. Paypal integration 
    The task is to implement paypal integration for the given app.
  7. Speeding up image processing 
    A python file which will execute some image processing will be given. The task is to speedup this image processing
  8. Sikuli image collection 
    Write a sikuli image collection program that collects all the images for a given website
  9. Nginx updation automation 
    Subdomain, Domain and the port number will be given. The task is to automate the updation and reload of nginx using python.
  10. AWS - Get running EC2 instances for all regions 
    The task is to write a program to find all the EC2 instances running in all regions and output them.
  11. LangChain and Ollama 
    TDB
  12. Flask vs FastAPI Benchmarking
simple benchmarking:

flask+jinja vs fastapi+jinja

2M Rows, 10 columns

How much time is it taking
  1. Linktree
https://github.com/kactlabs/linktree-clone/tree/ivq
branch: ivq

readme.md will have more details
  1. TBD
suggest AI logo based on text (name /initials) , photo of a person.
  1. TBD
suggest AI signature design
  1. TBD
suggest business card AI design
  1. TBD
Image 2 Line Drawing Converter
  1. TBD
Garbage Classifier with severity
  1. TBD
Learn and make a POC on this:

https://docs.mem0.ai/cookbooks/overview
  1. TBD
IG pics - remove top and bottom section
  1. Product Compare with LangChain
By using LangChain and Gemaini, compare product Quote version 1 and version 2.

Should be done as IA (Independent Agent)

product-quote1.pdf product-quote2.pdf

  1. Rewrite content with DelinkinedLink ``` input:

  2. AI-For-Beginners (Microsoft): A complete 12-week curriculum covering AI fundamentals from classical AI to ethics. Link: https://lnkd.in/ehVdWc5U

  3. ML-For-Beginners (Microsoft): End-to-end introduction to ML with projects, visual explanations, and Jupyter notebooks. Link: https://lnkd.in/eTgeEGNa

  4. Generative-AI-For-Beginners (Microsoft): A modern guide to generative AI and LLM fundamentals your entry into real-world GenAI. Link: https://lnkd.in/ekJ2jDgB

  5. AI-Agents-For-Beginners (Microsoft): Learn the principles of AI agents and how they work in real-world scenarios. Link: https://lnkd.in/ewnSQzxc

𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐋𝐞𝐯𝐞𝐥 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠

  1. Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu

  2. AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://lnkd.in/e6ysXemU

  3. EdgeAI-For-Beginners (Microsoft): Learn to deploy AI models on edge devices ideal for DevOps or IoT professionals. Link: https://lnkd.in/e7SerUbs

output:

  1. AI-For-Beginners (Microsoft): A complete 12-week curriculum covering AI fundamentals from classical AI to ethics. Link: https://lnkd.in/ehVdWc5U

  2. ML-For-Beginners (Microsoft): End-to-end introduction to ML with projects, visual explanations, and Jupyter notebooks. Link: https://lnkd.in/eTgeEGNa

  3. Generative-AI-For-Beginners (Microsoft): A modern guide to generative AI and LLM fundamentals your entry into real-world GenAI. Link: https://lnkd.in/ekJ2jDgB

  4. AI-Agents-For-Beginners (Microsoft): Learn the principles of AI agents and how they work in real-world scenarios. Link: https://lnkd.in/ewnSQzxc

𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐋𝐞𝐯𝐞𝐥 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠

  1. Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu

  2. AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://lnkd.in/e6ysXemU

  3. EdgeAI-For-Beginners (Microsoft): Learn to deploy AI models on edge devices ideal for DevOps or IoT professionals. Link: https://lnkd.in/e7SerUbs

output:

  1. AI-For-Beginners (Microsoft): A complete 12-week curriculum covering AI fundamentals from classical AI to ethics. Link: https://github.com/microsoft/AI-For-Beginners

  2. ML-For-Beginners (Microsoft): End-to-end introduction to ML with projects, visual explanations, and Jupyter notebooks. Link: https://github.com/microsoft/ML-For-Beginners

  3. Generative-AI-For-Beginners (Microsoft): A modern guide to generative AI and LLM fundamentals your entry into real-world GenAI. Link: https://lnkd.in/ekJ2jDgB

  4. AI-Agents-For-Beginners (Microsoft): Learn the principles of AI agents and how they work in real-world scenarios. Link: https://github.com/microsoft/ai-agents-for-beginners

𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 𝐋𝐞𝐯𝐞𝐥 𝐇𝐚𝐧𝐝𝐬-𝐨𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠

  1. Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu

  2. AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://github.com/patchy631/ai-engineering-hub

  3. EdgeAI-For-Beginners (Microsoft): Learn to deploy AI models on edge devices ideal for DevOps or IoT professionals. Link: https://github.com/microsoft/edgeai-for-beginners ```

23. Git Ignore

.gitignore:

uploads
!uploads/.gitkeep
static/generated/
!static/generated/.gitkeep
logs/
*.log


Explain this

24.

https://academictorrents.com/users.php

Collect all users by web scraping
Sort the users by total GB uploaded
Use FastAPI

25.

Clone this branch: https://github.com/kactlabs/object-guessing-game-course/tree/python-assignment-20251205
Undersand use cases
Fix the existing Issues

26.

Folder Rename:

I need to index all main folders (don't go into sub folders) like:

132-jerin-toolkit

133-kactii-hustlecamp-learning-analytics

start with 141 as the latest number is 140 (140-meeran-gajalakshmi-image-creator)

don't touch if the folder already indexed like <n>-abc

if the folder name has space, replace with "-"

if the folder name has Capital letter, replace it with small

do this in folder_migration.py

27. CodeVectra Improvements

1. Fork this repo: https://github.com/kactlabs/code-vectra

2. Understand the code

3. Make improvements

4. Send PR with your changes