tetratensor

Pinned Repositories

• ML-powered_resume_analyser

  Local, privacy-friendly resume analysis: convert, classify, and get advice using TF‑IDF, Logistic Regression, and sentence-transformer embeddings.

  Language:Python198

• Amazon-Wishlist-Point-Visualization

  Devola is a Chrome extension for Amazon.co.jp that automatically displays expected reward points next to each item on your wishlist. No need to open product pages—see points at a glance with real-time updates and full client-side privacy.

  Language:TypeScript84

• Next.js-Cloudflare-Voice-AI

  🎤 A real-time voice AI assistant built with Next.js and deployed on Cloudflare Workers. Features voice activity detection, speech-to-text, AI conversation, and text-to-speech with WebSocket communication and Durable Objects for seamless voice interactions.

  Language:TypeScript136

• Stock-Market-News-Sentiment-Analysis

  A Python-based news sentiment analysis using Hugging Face Sentiment Analysis Model and Dataset.

  Language:Jupyter Notebook51

• AI-Cat-Persona-API

  AI cat persona API with FastAPI, SSE streaming, and OpenAI integration

  Language:Python51

• Timelogger-Frontend

  Timelogger frontend built with Next.js + TypeScript. Track tasks and time with authentication, Storybook-driven UI, and typed OpenAPI client.

  Language:TypeScript60

• LiveKit-Outbound-Caller-Voice-Agent

  Outbound PSTN calling agent using LiveKit SIP trunks with a voice pipeline (Silero VAD, Deepgram STT, OpenAI LLM+TTS). Includes a simple CLI for local development, health checks, and model prewarming.

  Language:Python197

• street-algo-trader

  Algorithmic trading client and strategies for a Jane Street–style electronic exchange: pennying market-making, micro-MACD, bond maker, ETF/ADR arbitrage.

  Language:Jupyter Notebook102

• Realtime-AI-Web-Console

  Experimental web console for real-time multimodal AI interactions (voice/video) using Gemini 2.0 Live API and NijiVoice. Next.js (TypeScript, Tailwind) frontend and FastAPI backend communicate over WebSocket for low-latency streaming.

  Language:TypeScript81

• yolo-realtime-violence-ai

  The aim of this project is to create a real-time violence detection system using a custom-trained YOLO model. This system is designed to analyze video feeds, identify potential violent behavior, and issue alerts for immediate action.

  Language:Jupyter Notebook70

tetratensor's Repositories