Fake News Detection using Machine Learning I’m excited to share my graduation project: Fake News Detection 🎓 🔍 Project Overview In an age of misinformation, detecting fake news is more important than ever. This project leverages machine learning models (Gradient Boosting, XGBoost, SVM, etc.) and a Flask-based web interface to classify news articles as real or fake based on their content. 🧠 Key Features - End-to-end ML pipeline (data cleaning, TF-IDF vectorization, model training) - Evaluation of multiple classifiers - Simple web app for real-time article analysis - Open-source and easy to extend 🛠️ Tech Stack Python, Flask, HTML, Scikit-learn, Pandas, XGBoost 📁 Check out the GitHub repo:👉 github.com/Rodwanbagdadi/Fake_News_Detection I’d love to hear your thoughts, feedback, or suggestions. Feel free to fork, star ⭐, or contribute! #MachineLearning #FakeNewsDetection #NLP #FlaskApp #GraduationProject #AI #OpenSource #Python

Recently, it seems like everyone has been trying to jump on trends. Just yesterday, GPT 5 was released, and Twitter just blew up with posts like "The Top 5 Reasons GPT 5 Is Better Than Your Mom" and "Why You Should Use GPT 5 and Nothing Else." It's like you haven't even had the chance to try it, yet you already know how to optimize it to its full potential. What's the reasoning behind this? Do people just want to get followers? I don't know. What do you guys think? I also just had to share this amazing analysis they did on their livestream yesterday. Like, who constructed this visual? 😂

hello all, i'm trying to clone the repository for 'How to Build Effective AI Agents in Pure Python' but I am running to the following error: I tested the path and its good...all other clones from github have been smooth until this one. Thanks

I recently read an article about a man who became obsessed with an AI chatbot and it threatened his marriage, I thought about how interesting that was (sad but interesting), imagine having a connection like a spouse and instead you turn to the thing that has no emotions, the thing that just tells you "Yes". After consideration, I realized that AI is really bad for human connection. Most children talk to AI chatbots regularly, some even daily, and what they don't realize is that they're learning only to connect with those that constantly agree with them, which in turn teaches them to agree with others and not to think for themselves as much as a society of individuals really necessitizes. Proper human interaction exposes us to opinions that are formulated from a being with autonomy and its own biases, this teaches us how to formulate our own opinions and biases, with exceptions. The things I say also apply to peer to peer interactions, not all peer to peer, but in settings like traditional public school, where almost all interaction is with those that are the same age as you, still trying to realize who they are, it can be detrimental to the growth and neural development of young children. As always, I'm open to discussion and would love to hear your opinions in the comments. Warm Regards, -- Caleb. P.S. here is the link to the article. This man says ChatGPT sparked a ‘spiritual awakening.’ His wife says it threatens their marriage | CNN Business

PlantVision🌿(an ambitious personal project l am working on) is an end-to-end deep learning system for detecting and classifying different kinds of plant diseases based on their leaves It leverages MLOps best practices, and will be deployed for offline mobile use and web through APIs https://github.com/MDeus-ai/PlantVision So l realized that instead being trapped in tutorial hell, why don't l just learn by building actual real world end-to-end machine learning systems, and to be honest, l enjoy it, l am learning stuff no tutorials would have taught me