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Interview Assignments
Note:
- 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. - 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. -
Unique Model Finder
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S3 Viewer
- 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. - Paypal integration
The task is to implement paypal integration for the given app. - Speeding up image processing
A python file which will execute some image processing will be given. The task is to speedup this image processing - Sikuli image collection
Write a sikuli image collection program that collects all the images for a given website - 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. - 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. - LangChain and Ollama
TDB - Flask vs FastAPI Benchmarking
simple benchmarking:
flask+jinja vs fastapi+jinja
2M Rows, 10 columns
How much time is it taking
- Linktree
https://github.com/kactlabs/linktree-clone/tree/ivq
branch: ivq
readme.md will have more details
- TBD
suggest AI logo based on text (name /initials) , photo of a person.
- TBD
suggest AI signature design
- TBD
suggest business card AI design
- TBD
Image 2 Line Drawing Converter
- TBD
Garbage Classifier with severity
- TBD
Learn and make a POC on this:
https://docs.mem0.ai/cookbooks/overview
- TBD
IG pics - remove top and bottom section
- 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
- Rewrite content with DelinkinedLink ``` input:
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AI-For-Beginners (Microsoft): A complete 12-week curriculum covering AI fundamentals from classical AI to ethics. Link: https://lnkd.in/ehVdWc5U
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ML-For-Beginners (Microsoft): End-to-end introduction to ML with projects, visual explanations, and Jupyter notebooks. Link: https://lnkd.in/eTgeEGNa
-
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
- 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
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Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu
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AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://lnkd.in/e6ysXemU
-
EdgeAI-For-Beginners (Microsoft): Learn to deploy AI models on edge devices ideal for DevOps or IoT professionals. Link: https://lnkd.in/e7SerUbs
output:
-
AI-For-Beginners (Microsoft): A complete 12-week curriculum covering AI fundamentals from classical AI to ethics. Link: https://lnkd.in/ehVdWc5U
-
ML-For-Beginners (Microsoft): End-to-end introduction to ML with projects, visual explanations, and Jupyter notebooks. Link: https://lnkd.in/eTgeEGNa
-
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
-
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
-
Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu
-
AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://lnkd.in/e6ysXemU
-
EdgeAI-For-Beginners (Microsoft): Learn to deploy AI models on edge devices ideal for DevOps or IoT professionals. Link: https://lnkd.in/e7SerUbs
output:
-
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
-
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
-
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
-
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
-
Learn-AI-Engineering: Curated roadmap covering AI/ML fundamentals, LLMs, RAG, and deployment practices. Link: https://lnkd.in/e6KqP2qu
-
AI-Engineering-Hub: Practical tutorials on RAG, vector databases, and AI agent architectures. Link: https://github.com/patchy631/ai-engineering-hub
-
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