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This is a project that I titled Low-cost AI Power theft detection that detects electricity theft, bypass of electricity, high electricity usage, with the help of TinyML integrated and trained into the esp32 and alert with the help of the buzzer and shows in a well polished web dashboard, sensor used would be communicated after the project as been finally built and ready for implementation.
Ready to hear more ideas or features to add to this project before completion ☺️.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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It's building without a way to measure success.
I've seen teams spend months building AI features only to discover:
❌ Users don't trust the outputs
❌ Accuracy isn't improving
❌ Costs keep increasing
❌ Nobody knows what's working
The best AI teams think about evaluation before implementation.
They define:
📊 Success metrics
🎯 Quality benchmarks
📈 Monitoring & observability
🔄 Continuous improvement loops
Because AI isn't a "set it and forget it" system.
It's a product that needs measurement, feedback, and optimization.
The companies winning with AI aren't just building faster.
They're learning faster.
And that starts with measuring what matters. 🚀
How does your team evaluate AI quality today? 👇
#AI #GenerativeAI #AIEngineering #LLMAgents #RAG #MLOps #ArtificialIntelligence #ProductDevelopment #FullStackDevelopment #SaaS #Contra
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