Abstract: Speechmaster – AI-Powered Public Speaking Platform
Course Instructor
Pramod Gupta
Abstract
Introduction
Public speaking is a skill universally admired by employers and individuals alike, but it is one that many people dread. Whether it's a work presentation or a class project, nerves, filler words, or just feeling unprepared can get in the way. Most practice still happens in person. Traditional training methods are essential but often too infrequent, constrained by physical location, and lacking real-time, expert, and personalized feedback especially over the long term.
That’s where Speechmaster comes in: a simple, web-based platform that enables users to practice anytime, anywhere. Users receive quality feedback, track long-term growth through quantifiable metrics instead of subjective opinions, and harness the latest advances in AI to gain critical insights into how to improve their public speaking.
Method
Speechmaster is a platform that connects users through online video meetings using matchmaking. Once connected, the possibilities for what metrics can be measured and what insights can be derived from their interactions are endless.
Currently, Speechmaster uses a mix of smart tools to make learning smooth and effective. It relies on OpenAI Whisper to accurately transcribe recorded speeches, and Deepgram for live transcription when users want instant results. Once a speech is transcribed, AI models like GPT-4 analyze it—flagging filler words, rating fluency, assessing word variety, identifying tone, offering tailored suggestions, and more. Users receive clear reports showing how they’re doing and what to work on next.
The tech stack behind the scenes includes Node.js and PostgreSQL on the backend, and a frontend built with Next.js, Tailwind CSS, and TypeScript. Authentication and session handling are managed with Clerk to keep everything secure and user-friendly.
Expected Results
We expect users to walk away with real, data-backed insights into how they speak - insights they might not notice on their own. Users can gauge their progress using quantifiable metrics, replacing the mostly subjective and qualitative feedback of traditional methods. These metrics allow users to track growth over time, stay motivated, and pinpoint persistent weaknesses.
The AI feedback is fast, personal, and consistent, making high-quality feedback easy to obtain. Over time, the system will collect enough data to detect subtle patterns and deliver even more
personalized guidance. Plus, with a clean design and built-in progress tracking that feels more like a game than a chore, we believe users will stick with it—and even enjoy the process.
Conclusion
Speechmaster is about using modern tech to solve an age-old problem. Challenges like ensuring AI accuracy, handling user data responsibly, and managing costs are real - but common across platforms and solvable.
Currently, most public speaking training takes place in person, making it limited by location and offering few reliable ways to gather performance metrics. Our goal is simple: bring public speaking practice online, use the latest tech to measure performance, then deliver high-quality, tailored AI feedback from that data. Ultimately, this platform can help users improve their public speaking and feel more confident in their careers and personal lives.
Abstract: Speechmaster – AI-Powered Public Speaking Platform
Introduction
Public speaking is a skill universally admired by employers and individuals alike, but it is one that many people dread. Whether it's a work presentation or a class project, nerves, filler words, or just feeling unprepared can get in the way. Most practice still happens in person. Traditional training methods are essential but often too infrequent, constrained by physical location, and lacking real-time, expert, and personalized feedback especially over the long term.
That’s where Speechmaster comes in: a simple, web-based platform that enables users to practice anytime, anywhere. Users receive quality feedback, track long-term growth through quantifiable metrics instead of subjective opinions, and harness the latest advances in AI to gain critical insights into how to improve their public speaking.
Method
Speechmaster is a platform that connects users through online video meetings using matchmaking. Once connected, the possibilities for what metrics can be measured and what insights can be derived from their interactions are endless.
Currently, Speechmaster uses a mix of smart tools to make learning smooth and effective. It relies on OpenAI Whisper to accurately transcribe recorded speeches, and Deepgram for live transcription when users want instant results. Once a speech is transcribed, AI models like GPT-4 analyze it—flagging filler words, rating fluency, assessing word variety, identifying tone, offering tailored suggestions, and more. Users receive clear reports showing how they’re doing and what to work on next.
The tech stack behind the scenes includes Node.js and PostgreSQL on the backend, and a frontend built with Next.js, Tailwind CSS, and TypeScript. Authentication and session handling are managed with Clerk to keep everything secure and user-friendly.
Expected Results
We expect users to walk away with real, data-backed insights into how they speak - insights they might not notice on their own. Users can gauge their progress using quantifiable metrics, replacing the mostly subjective and qualitative feedback of traditional methods. These metrics allow users to track growth over time, stay motivated, and pinpoint persistent weaknesses.
The AI feedback is fast, personal, and consistent, making high-quality feedback easy to obtain. Over time, the system will collect enough data to detect subtle patterns and deliver even more
personalized guidance. Plus, with a clean design and built-in progress tracking that feels more like a game than a chore, we believe users will stick with it—and even enjoy the process.
Conclusion
Speechmaster is about using modern tech to solve an age-old problem. Challenges like ensuring AI accuracy, handling user data responsibly, and managing costs are real - but common across platforms and solvable.
Currently, most public speaking training takes place in person, making it limited by location and offering few reliable ways to gather performance metrics. Our goal is simple: bring public speaking practice online, use the latest tech to measure performance, then deliver high-quality, tailored AI feedback from that data. Ultimately, this platform can help users improve their public speaking and feel more confident in their careers and personal lives.
