FastRead is an AI-driven content creation platform that turns a single thought or idea into a complete book draft using large language models. It empowers creators, authors, and entrepreneurs to generate, edit, and publish high-quality books faster combining AI creativity with a seamless user experience.
My Role:
As a Full-Stack & AI Engineer, I designed and implemented the platform’s Python-based AI orchestration system that coordinates multiple large language models (LLMs) including ChatGPT (OpenAI), Claude, and custom fine-tuned models for natural language generation, editing, and refinement.
Key Contributions:
=> Engineered a multi-LLM pipeline in Python to dynamically route requests between OpenAI, Claude, and internal models for optimal creativity, tone, and factual accuracy.
=> Integrated speech-to-text and text-to-speech features using OpenAI Whisper and Google Speech APIs, enabling users to dictate ideas or listen to generated drafts.
=> Developed a FastAPI backend for book creation, content generation, and AI session management with JWT-based authentication.
=> Built a Next.js 15.4 frontend with TailwindCSS, Shadcn/UI, and Framer Motion, offering a modern and fluid interface for book writing and editing.
=> Integrated analytics tools including Hotjar, Google Analytics 4, and Facebook Pixel for behavioral tracking and conversion optimization.
=> Managed deployment on AWS (Lambda, EC2) with static assets stored in DigitalOcean Spaces, behind an Nginx reverse proxy for performance and security.
Impact:
FastRead revolutionized how creators produce long-form content reducing writing time by 70%, increasing creative consistency, and enabling real-time voice interaction with AI models. The platform now serves a growing user base of writers and educators leveraging multi-LLM creativity for book generation.