WARNING: This repository is no longer maintained

In this code pattern you will learn about building a robust solution for analyzing the video or audio files to quickly generate meaningful summary & insights using different Deep learning and Machine learning approaches. You will also learn about improving the readibility of the transcripts with IBM Watson Speech to Text speech recognition models, how to optimize the parameteres, train different speech to text models and learn about different state of the art language models used for summarizing the text.

WARNING: This repository is no longer maintained

In this code pattern, you will learn how to build a voicebot for WhatsApp using Watson Assistant and Watson Speech to Text

React app using the Watson Speech to Text service to transform voice audio into written text.

Designed to read in files and output text that follows similar speech patterns. Used to practice coding in Go.

Personal AI Logger 🚀 A system to log conversations, thoughts, and coding patterns for future AI training. Features FastAPI, Whisper AI for speech-to-text, and PostgreSQL + ChromaDB for structured and vector storage. Supports searchable logs for quick recall. 🔹 Tech: FastAPI, Whisper, PostgreSQL, ChromaDB 🔹 Goal: AI-powered logging & retrieval

React app using the Watson Text to Speech service to transform text into audio.

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