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Decoding Data Science

161 members • Free

85 contributions to Decoding Data Science
🌱 Day 6 Update
Today I worked on Figuro’s multi-agent system and improved the Weak Points feature. I added agents for weak points, lessons, progress, and actions, with a coordinator connecting everything together. I also improved quiz question filtering so PDF metadata doesn’t turn into questions. One more day closer to finishing! 🚀 #DDS #BuildingAIApplications #AI #Day6
🌱 Day 6 Update
Day 5 complete! 🚀
Today I worked on Figuro’s Practice feature and started building Weak Points. I focused on: 🎯 Different practice questions 🧠 Adaptive difficulty 📚 Lesson/material-based questions 💡 Hints and feedback 🔄 Try Again + Next Question 📊 Focusing practice on weak areas Still testing and improving, but Day 5 is done! 💻✨
Day 5 complete! 🚀
Day 5 ✅ — ProDiagAI
🚀 Day 5 — ProDiagAI is becoming an intelligent maintenance copilot for industrial machines. Real-time sensor data + ML now detect machine health and failure risk, while our AI Maintenance Agent helps engineers with diagnosis, maintenance planning, spare parts, cost estimation, and preventive maintenance. The workflow is simple: AI recommends → Engineer reviews → Engineer approves → Work Order 👨‍🔧 Building toward a practical industrial AI solution. 3 days to go. 🚀 Decoding Data Science Mohammad Arshad #BuildInPublic #AIAgents #IndustrialAI #PredictiveMaintenance #AIChallenge
Day 5 ✅ — ProDiagAI
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🏆 I MADE IT TO THE HALL OF FAME! 🎉
I’m so happy to share that I won the August Ambassador Challenge! I’m truly grateful for this recognition and really proud of this achievement. Thank you to everyone who supported and encouraged me throughout the challenge! 🙌 Excited to keep the momentum going! 🚀🔥
🏆 I MADE IT TO THE HALL OF FAME! 🎉
Day 4 of building ProDiag AI V2 🛠️
Spent today making the predictive maintenance copilot more robust — guardrails, input validation, prompt-injection protection, error handling, response validation, rate limiting, and RAG safety. Also refined the AI diagnosis and Engineer Chat with stronger grounding around real machine telemetry, ML predictions, anomaly evidence, and maintenance knowledge. The reliability work isn't always visible, but it matters just as much as the AI features. Decoding Data ScienceMohammad Arshad #BuildInPublic#PredictiveMaintenance#IndustrialAI#AIAgents#AIChallenge#BuildWithAI
Day 4 of building ProDiag AI V2 🛠️
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1-10 of 85
Fatima Alhamadi
5
301 points to level up
@fatima-alhamadi-3167
AI Student at liwa university

Active 22h ago
Joined Jul 19, 2026