AuraPitch -

The Problem: The Feedback Gap in Public Speaking Mastering communication is essential for career success, yet access to quality coaching is highly unequal. Traditional public speaking training is expensive, hard to scale, and heavily reliant on human schedules. While current AI tools excel at fixing written text, they largely ignore the critical nuances of spoken delivery, leaving students, job seekers, and entrepreneurs without a reliable way to practice live pitching. The Solution: Real-Time Multimodal Coaching AuraPitch bridge this gap with an AI-driven platform that acts as an instant communication coach. By securely analyzing live audio and video feeds, the system evaluates both what you say and how you say it. It tracks key verbal and non-verbal metrics—including confidence, pacing, clarity, body language, and tone—and delivers structured, actionable insights within seconds. This allows users to practice, adjust, and iterate entirely on their own schedule. Technical Architecture Built for high performance and seamless scalability, AuraPitch leverages a modern, cloud-native tech stack: Frontend: Vite (for a responsive, low-latency user interface). Backend & Orchestration: Node.js (handling asynchronous data streams and real-time processing). AI Engine: Gemini API (powering advanced multimodal audio and video analysis). Deployment & Scaling: Docker, GitHub Actions for automated CI/CD pipelines, and Google Cloud Run for serverless, on-demand scalability. Target Audience & Business Model AuraPitch is designed for anyone whose success depends on effective presentation: Core Users: Students, job candidates, startup founders, sales teams, and content creators. Monetization Pathways: Premium individual subscriptions, enterprise team training, university licensing, specialized interview-prep tiers, and B2B API integrations for external platforms looking to embed communication grading.