Turning Public Speaking Coaching into a Scalable AI-Driven Learning Experience

BURAQ designed and developed SpeakEase as a self-serve AI coaching platform that guides users through a complete improvement cycle: upload, analyze, practice, and track. Users record a speech, receive AI-driven feedback across voice, expression, and content, then re-practice using structured real-time prompts. Every session feeds into a personal progress dashboard where users can set goals and monitor growth over time. The architecture was built modular from day one, allowing the client to expand AI capabilities beyond the MVP as the product scales. AI Approach The platform's core is a multi-model AI engine that evaluates speech across three critical dimensions. Voice analysis, powered by NLP and deep learning, examines grammar, filler words, pacing, and pronunciation. Facial expression analysis, driven by CNN-based computer vision, ensures body language aligns with tone. Semantic analysis evaluates content coherence and topic relevance. Together, these layers provide feedback that mirrors what a live coach would notice — but at scale and on demand. Key Features Upload & Analyze Workflow: Processes recorded audio and video submissions through a single AI pipeline. Multi-Layered Speech Evaluation: Assesses grammar, filler words, pacing, pronunciation, and content relevance in one pass. Facial Expression Analysis: Uses computer vision to align body language with the intended emotional tone. Real-Time Practice Environment: Delivers instant prompts and structured feedback loops during practice sessions. Progress Dashboards: Tracks improvement over time with goal setting and session comparison.