During the development phase of my Physics AI Chatbot for the DDS AI Application Challenge I had a moment when I realised I had built something cool. My chatbot was able to take a physics problem and output a step-by-step solution instead of providing a final numerical answer. It really clicked for me that I had stopped just learning about AI and started building with AI. That’s why MC07: Hugging Face – Building an Open-Source Project led by Mohammad Arshad resonated so much with me. Mohammad guided us through the process of taking an AI prototype and transforming it into something that can be used, tested, reproduced, and improved by the community. 🧠 Three things I learned: 1. It takes more than a model: Data, evaluation, deployment, licensing, and documentation are important considerations. 2. There’s a builder workflow you can follow: explore → test → evaluate → deploy → improve. 3. Documentation is your product: clear model cards with specific limitations and intended uses will make your open-source AI more responsible, useful. I left motivated to look at my own Physics AI Chatbot with new eyes. How can I transform what I have built into something transparent and shareable? How can I open-source my AI project? Thank you to Mohammad Arshad and the Decoding Data Science (DDS) community. You’ve helped me learn something new once again. 🤗 #HuggingFace #OpenSourceAI #ArtificialIntelligence #MachineLearning #DDSCommunity #DDSAmbassador #AIProjects

Excited to officially kick off my 7-Day Agentic AI Challenge! 🤖🧠 Today, I moved from an idea to a clear vision for my project: 🔬 Interactive Concept Explorer — An Agentic AI Learning Lab. #AgenticAI #AIChallenge #ArtificialIntelligence #AIEngineering #LearningAI #Day1

Meet Nevin – Your AI Powered Educational Math Sidekick! 👋🎓🤖 I have officially started the Day 1 Building Agentic AI Application Challenge by Decoding Data Science. Hello everyone, I’ve created Nevin Chatbot, an AI-powered mathematics chatbot that helps students solve Maths problems by learning step by step. Key Philosophy behind Nevin Chatbot: Learning Maths is more than just solving for an answer. 👨🎓 Rather than outputting an answer, Nevin Chatbot aims to: 1️⃣ Understand the Maths problem posed 2️⃣ Explain the maths concept(s) related to the problem. 3️⃣ Walk students through problems step-by-step. 4️⃣ Promote problem solving skills. 5️⃣ Allow students to build a better conceptual understanding. My project aims to unlock the potential of Artificial Intelligence in the learning journey. Rather than simply searching for a quick answer, I believe students can benefit from having AI as a learning tool that walks them through problems. I look forward to improving Nevin into a comprehensive interactive learning tool to help students better understand how to tackle Mathematics. 🤖 Another project I built while learning, building, experimenting and implementing AI into real-world solutions.🚀 #NevinChatbot #ArtificialIntelligence #GenerativeAI #AIChatbot #StudentLearning #ProblemSolving #MachineLearning #AIProject #BuildInPublic #Innovation #FutureOfEducation

A machine failure rarely starts when the machine finally stops. The warning signs often appear much earlier — rising vibration, temperature changes, abnormal behaviour and gradual degradation. But when businesses discover the problem only after a breakdown, the result can be production downtime, emergency maintenance, higher costs and lost productivity. So I started with one question: What if businesses could identify the warning signs before the failure happens? Introducing ProDiag AI V2 — an AI-Powered Predictive Maintenance Copilot for Industry. The goal is to help maintenance teams: 🔹 Monitor machine health 🔹 Detect early warning signs 🔹 Predict potential failures 🔹 Diagnose problems 🔹 Recommend maintenance actions 🔹 Reduce unplanned downtime The bigger vision is to connect: Detection → Prediction → Diagnosis → Action and help industries move from reactive maintenance to proactive decision-making. I'm now building this idea into a working solution and will share the journey as it develops. A big thank you to Mohammad Arshad and Decoding Data Science for the guidance and opportunity. 🙌 ProDiag AI — Predict Before Failure. Keep Industry Moving. 🚀 #ProDiagAI #PredictiveMaintenance #IndustrialAI #SmartManufacturing #AIForIndustry #DecodingDataScience #AIChallenge

🚀 Day 1 of the Building Agentic AI Application Challenge by Decoding Data Science Today I started building Figuro, my AI learning coach. 🌱🤖 Day 1 was all about building the foundation — setting up accounts, lessons, folders, study materials, and connecting the AI to students’ own learning content. I also connected Learn, Practice, and Solve and tested account privacy and AI material context. ✅ Day 1 done! 🌱 Now onto Day 2! 🚀 #Day1 #Figuro #AI #AgenticAI #BuildingInPublic