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SpeakCode | nwHacks 2026

"Coding is only half the battle."

In top-tier technical interviews, a passing test suite isn't enough. Engineers are expected to articulate complex logic, justify trade-offs, and maintain composure—all while the clock is ticking. SpeakCode is a multimodal practice platform that evaluates not just the code you write, but the way you explain it.

The Challenge

Modern technical screenings have a "Communication Gap." Platforms like LeetCode focus entirely on syntax and Big O, ignoring the verbal reasoning that actually gets you the job. Companies look for:

• Logic Articulation: The ability to explain why a Hashmap was chosen over a TreeMap.
• Technical Clarity: Explaining data structures clearly without losing focus on the implementation.
• Acoustic Confidence: Managing pacing, tone, and filler words under high-stress conditions.

How it Works

SpeakCode uses a specialized AI pipeline to analyze your performance across two dimensions simultaneously:

1. The Content

• Whisper Large-v3: Transcribes your verbal reasoning with high fidelity, even with heavy technical jargon.
• GPT-4 Intelligence: Acts as a "Critical Interviewer" to grade your logic, algorithmic accuracy, and code efficiency against FAANG standards.

2. The Delivery

• Signal Processing: We use librosa and parselmouth to extract acoustic features like pitch variance (confidence), speech rate (pacing), and filler word density (clarity).

Core Features

• Live Pressure Simulation: A minimal, high-stakes IDE designed to mimic real-world technical screenings.
• Multimodal Feedback: Get a holistic dashboard showing your Communication Score alongside your Code Correctness.
• Logic vs. Syntax Analysis: Our AI distinguishes between a "syntax error" and a "logic gap," giving you specific feedback on where your explanation failed.
• Acoustic Metrics: Visualize your speech patterns to identify where you sound hesitant or rushed.

Technical Architecture

Built With

• node.js
• passport-js