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GitHub热门项目 | Odoo. Open Source Apps To Grow Your Business. | Stars: 51,871 | 29 stars today | 语言: Python
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GitHub热门项目 | Odoo. Open Source Apps To Grow Your Business. | Stars: 51,871 | 29 stars today | 语言: Python
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The company is reducing its workforce as it exits 22 countries, reduces management layers, and invests in its infrastructure to scale its platform.
This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built An AI interview coach that runs in your browser. No backend. No accounts. No subscriptions. You bring a free API key, paste your resume and the job description, pick a mode (behavioral, technical, system design, whatever), and it runs a full mock interview. Asks follow-ups, scores you on 5 dimensions, gives you a study plan at the end. I built the first version for the Gemma 4 DEV.to Challenge last month. It kinda worked. But I wouldn't have used it myself, and that bothered me. Live: hajirufai.github.io/gemma4-interview-coach Repo: github.com/hajirufai/gemma4-interview-coach Demo What you get now: 🗣️ 6 practice modes — behavioral (STAR method), technical, system design, online assessment sim, certification prep, case studies 🎤 Voice mode — talk into your mic, hear feedback read aloud. Because typing answers in a mock interview is weird. - 📄 Resume + JD aware — paste both, get questions about your actual experience gaps 📸 Screenshot upload — snap a coding problem or whiteboard and discuss it 🌐 4 AI providers with free tiers (Google AI Studio, OpenRouter, NVIDIA NIM, Hugging Face) 🌙 Dark mode, session history, timer, downloadable reports ## The Comeback Story ### Where it was before I threw this together during the Gemma 4 Challenge in May. Classic hackathon energy — built the core chat loop, got 6 mode cards looking nice, slapped on dark mode, shipped it. Then I hit the wall. Google AI Studio was throwing 500 errors during peak hours. The only option was "refresh and hope." No voice input, so you're typing interview answers like it's a customer support chat. And if you had a typo in your API key? Good luck figuring out why nothing's working. It was a demo, not a tool. ### What actually changed I came back with one rule: make this something I'd actually use to prep for my own interview. Voice mode was the big one. I'm prepping for a senior cybersecurity engineering interview right now. Typing
This is a submission for the GitHub Finish-Up-A-Thon Challenge I wired edge-context-mode into my own...
Hoi hoi! I’m @nyaomaru, a frontend engineer who recently discovered the deliciousness of a cheese...
What is Wrisha? Wrisha is a desktop emotional AI companion — an animated character who can see you, hear you, talk back, and react. The pipeline is genuinely multimodal: Vision — webcam + facial-emotion detection (OpenCV / FER) Hearing — speech-to-text so you can just talk to her Brain — an LLM generates her replies, in-character Voice — text-to-speech with mood-modulated tone Avatar — an animated face (pygame) that emotes and lip-syncs I built the bones of it a while back, got busy, and walked away. The Finish-Up-A-Thon was the push I needed to come back to it. The "before": it didn't just need polish — it was dead When I reopened the repo, the harsh truth was that the app couldn't even start. Two things had rotted: The environment was a fossil. The project was so old it wouldn't install on a modern machine. Wrong numpy, stale dependency pins, and a Python version mismatch that sent pip trying to compile packages from source and failing. Just getting it to attempt to run took a full environment rebuild on Python 3.12. The code was half-migrated and crashed on launch. I'd previously upgraded the internal modules — memory, a mood engine, a smarter brain — to a "v3" design, but I never finished wiring them into main.py. So the moment it tried to start, it died: TypeError: init () missing 2 required positional arguments: 'memory' and 'mood_engine' The "before" in one screenshot: a project that built its best features and then never connected them. I'd built the hard parts — persistent memory, a smooth mood state machine, proactive behavior — and left them sitting in files that main.py never even imported. Classic abandoned-side-project energy. The "after": three things I finished I set out to do three things, and I'm counting all three as the win. It runs again The core fix was finishing the migration: rewiring main.py to actually construct the Memory and MoodEngine, inject them into the Brain, and reference mood from the engine instead of the dead attribute it used to
At Microsoft Build 2026, GitHub introduced new tools, updates, and surfaces so agents can work the way you already work. The post GitHub Copilot app: The agent-native desktop experience appeared first on The GitHub Blog .
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