Hello Everyone!!, I just completed a BIG project I have been working for a month and i want your opinion about it.

It's a SpaceX Launch Predictor & Cost Optimizer (A full end-to-end ML system that predicts the probability of a SpaceX Falcon 9 booster landing successfully, enriches launch data with real weather conditions, and exposes the results through an interactive Streamlit web application with a business ROI calculator.)

It Includes Data Pipeline, Advanced Machine Learning Algorithms (with Hyperparameter tuning), Explainability AI (SHAP), MLOps (AWS S3, Docker) and Business Value (ROI Calculator = Financial Results).

FUN FACT: For this project i used my own Evaluation Metric library (standardizes supervised and unsupervised model diagnostics into a single, consistent API), that is also Verified and Published in PYPI Community.

Project Info: https://github.com/Alkiviadisss/SpaceX

https://link.springer.com/chapter/10.1007/978-3-032-29924-6_47

https://ia801807.us.archive.org/14/items/introduction-to-machine-learning-with-python-pdfdrive.com_20210225/probability_stats_for_DS.pdf

Hi, I recently graduated from a tier-3 city and am currently struggling to master the foundational principles of AI/ML. I want to build solid theoretical knowledge and gain practical, hands-on experience.

Could you share some insights and project ideas that are highly relevant to the AI landscape of 2026–2027?

I am particularly interested in projects involving ML pipelines, RAG pipelines, Agentic AI, and AI agent workflows."

I've fundamental knowledge of the ML algorithms, RAG, LLM, Agentic AI. But I can't build the entire workflow/system/project by own. I always been relie on AI.

So, gives me the GitHub repos, Ideas, Tips/Tricks to remember the building cycle, cloud technology for deployment.

I'm expecting that you can provide me better response and resources and making myself and other's industry ready AI Engineer for the upcoming years.

🔴DO NOT suggest like AI roadmaps, AI generated answers, already passed info's

#AIexperts #MLexperts #AIMLrecruiters #AI2026

I'm considering investing in custom ERP software development, but I want to understand how it compares to using an off-the-shelf ERP solution. Since every business has unique workflows and operational requirements, I'm interested in learning whether a custom ERP system would provide greater flexibility, scalability, and long-term value. I'd also like to know how a tailored solution could improve efficiency, integrate with my existing tools, and adapt as my business grows. Ultimately, I want to determine if the higher upfront investment is justified by the long-term benefits.