

Hands-free intelligence for marathon coding assessments. Azara continuously inspects your primary screen in the background, automatically recognizing problem statements and injecting hints into your overlay.
Engineered specifically to solve high-stakes evaluation bottlenecks with zero telemetry footprint.
Polls screen buffers every 8 seconds using ultra-low memory OCR. When a new problem statement appears, hints arrive automatically.
Instead of overwhelming your screen, it delivers 1-line tactical hints (e.g. 'Use 2-Pointer with Monotonic Stack; O(N) time; check empty array edge case').
Identifies when your screen content hasn't changed, discarding duplicate frames with 0 unnecessary API calls.
Screenshots are evaluated in memory and instantly wiped after parsing, ensuring zero saved image artifacts.
End-to-end execution flow from acoustic capture to on-screen prompter delivery.
Toggle '๐๏ธ Monitor: ON' in your desktop overlay or press the corresponding hotkey.
Open your online assessment on LeetCode, HackerRank, Codility, or CodeSignal.
The vision model classifies the prompt, determines optimal time complexity, and identifies tricky constraints.
A glowing green hint banner appears at the top of your teleprompter with key Big-O insights.
Low-level protocol specifications, latencies, and security parameters.
Answers to common questions regarding detection safety, configuration, and performance.
No. Frame capture takes less than 15ms in native C++ bindings, and visual diffing is performed in a background worker thread with negligible CPU impact.
Yes! Azara's multimodal fusion pipeline seamlessly blends verbal audio transcripts with visual screen context for complete loop awareness.
No. The screen capture uses native OS desktop duplication APIs, generating zero network telemetry or suspicious browser events.
Azara operates as a unified intelligence OS. Combine multiple capabilities for 100% loop coverage.
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