Practice coding, run voice interviews, analyze resumes, and track progress — all in one offline desktop app.
Solve problems with real-time feedback and hints.
Practice realistic interviews using conversational AI.
ATS scoring and improvement suggestions locally.
Auto-generated preparation plans tailored to your goals.
Monitor strengths, weaknesses, and streaks.
Runs fully on your device using local models.
Placement OS is built to leverage AMD's powerful hardware and software ecosystem for optimal AI performance.
Utilizes AMD ROCm open software platform for GPU-accelerated AI model inference, enabling fast local LLM responses.
Optimized for AMD Ryzen processors with integrated NPU for efficient on-device AI workloads and reduced power consumption.
Supports AMD Radeon graphics cards for accelerated ML inference using Ollama with ROCm backend.
Compatible with AMD Instinct accelerators for enterprise-grade AI performance in larger deployments.
Leverages AMD's XDNA AI engine architecture for dedicated neural processing without GPU overhead.
Built using AMD-optimized libraries including MIOpen, rocBLAS, and HIP for cross-platform GPU computing.
Dashboard & analytics
Interview simulator
Coding workspace
chmod +x Placement-OS*.AppImage
./Placement-OS*.AppImage
Or: Right-click → Properties → Allow executing as program
8 GB RAM • Modern CPU • 8 GB disk
16 GB RAM • SSD • Microphone
Internet only needed for first setup.
curl -fsSL https://ollama.com/install.sh | sh
ollama pull qwen2.5-coder:7b
ollama serve
No, after setup.
No. Runs locally.
Local LLMs via Ollama Qwen model.