Kavin Vijayaraj@kavin_v974

FieldVoice is a hands-free AI inspection copilot for industrial and HVAC maintenance technicians. Instead of stopping to type inspection checkpoints, technicians speak naturally while working. FieldVoice uses the AssemblyAI Voice Agent API for real-time voice interaction, speech recognition, turn-taking, and tool calling over WebSockets. A single spoken turn can capture multiple observations such as temperature, pressure, vibration, and leakage. The Flask backend stores structured observations and preserves spoken evidence in PostgreSQL. Measurements are validated deterministically against equipment-specific operating limits rather than relying on the language model to invent thresholds. For example, AC-001 has a configured pressure range of 40–100 PSI, so 137 PSI is identified as out of range and a corrected reading of 96 PSI is revalidated as normal. Technicians can ask for inspection status, correct previous readings, create maintenance tickets, trigger safety alerts, and complete inspections using natural voice commands. Live Activity shows conversation events, tool calls, backend responses, and validation results. Completed inspections produce traceable results and reports linking observations to their spoken evidence.

AMD VisionOCR is a GPU-accelerated OCR application built for the Lablab x AMD AI Academy Mini Challenge 2. It uses Qwen2.5-VL-3B-Instruct with AMD ROCm to extract text from challenging real-world images, including license plates, stop signs, speed-limit signs, advisory speed plaques, and road-work warning signs. The OCR prompt is designed around the challenge requirements, including preserving relevant regional characters, excluding license-plate slogans and state names, reading multi-line signs in order, and returning advisory speed numbers only. The application supports PNG, JPEG, and TIFF inputs and handles image orientation before inference. The model and application are packaged into a self-contained Docker image using the mandated ROCm PyTorch base image, with the model weights included locally. Testing achieved 10/10 on the prepared OCR benchmark, followed by additional stress testing involving blur, darkness, low contrast, rotation, glare, and different image sizes. The final container is publicly available through GitHub Container Registry.

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.