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What are you working on? Any new ideas that you're thinking about?

This is a submission for [Weekend Challenge: Passion Edition] What I Built Over the years, I watched my mom do the same work over and over, often spending 2 to 4 hours preparing a single telecom SLA report. She works in network field maintenance for a telecom company in Nigeria, and every reporting cycle she has to manually read fault descriptions from field engineers, usually pasted directly from WhatsApp, classify each fault into the company's standardized taxonomy, and format everything into an Excel compliance report. At one point, I learned the process myself so I could truly understand what she was going through. After doing it firsthand, I realized how mentally and physically exhausting it was. Sitting for hours on a repetitive task that required constant attention wasn't just inefficient, it was draining. That experience made me ask one simple question: What could I build to make this easier for her? That question became this project. The Telecom RCA Automation System reduces a task that used to take 2 to 4 hours to about 5 minutes, cutting the workload by more than 95% while improving consistency and reducing manual errors. This project wasn't built over a single weekend. It started months ago as a side project that I'd return to whenever I had free time. It never quite felt ready to share. When the Weekend Challenge: Passion Edition was announced, it gave me the motivation to go back, refine the classification engine, fix long-standing bugs, improve the user experience, and finally build something I was proud to release. More than anything else, this project is about giving someone I love a few hours of her evening back. Demo https://telecom-rca-automation-system.vercel.app * 🎥 Demo Walkthrough * https://youtu.be/EIdFDKtcIZw The video demonstrates the complete workflow, from uploading the telecom availability report to generating the final SLA report, and highlights how Google Gemini AI assists with ambiguous fault classification. Code https://github.com/t

Ask most people to name the chip that started modern electronics and they will say the microprocessor. But there is a quieter hero inside almost everything you own that beeps, blinks, or connects to the internet: the microcontroller. And the first one you could actually buy shipped in 1974 as the Texas Instruments TMS1000. Microprocessor vs. microcontroller The distinction matters. A microprocessor, like Intel's famous 4004, is just the processing core. To build anything useful with it you still have to wire up separate memory chips, input/output controllers, and support logic on a circuit board. A microcontroller collapses all of that onto a single piece of silicon: the CPU, the ROM that holds your program, the RAM that holds your data, and the I/O pins that talk to the outside world, all in one package. That is exactly what the TMS1000 did. Designed by Texas Instruments engineers Gary Boone and Michael Cochran, it was a 4-bit device using a Harvard architecture, meaning it kept program memory and data memory in separate spaces so it could fetch an instruction and read data at the same time. One chip in, one chip out, and you had a complete tiny computer dedicated to a single job. Cheap enough to put in everything The genius of the TMS1000 was not raw power, it was economics. In 1974 you could buy the chips in volume for around two dollars each. By 1979, Texas Instruments was selling roughly 26 million of them every year. That price point changed what engineers could build. Suddenly it made sense to drop a small, programmable brain into products that never would have justified a full computer. You have almost certainly held one. The TMS1000 family ran the Speak & Spell, the Big Trak programmable toy vehicle, and the electronic memory game Simon, along with countless calculators, microwave ovens, and appliances. Each one was doing the same fundamental thing an IoT node does today: read some inputs, run a fixed program, drive some outputs. Why this still matters for