Free, open-source, real-time dictation for Windows. Runs locally (no cloud!), uses AI, and types directly into any application via a user-friendly GUI.
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Updated
Dec 12, 2025 - Python
Free, open-source, real-time dictation for Windows. Runs locally (no cloud!), uses AI, and types directly into any application via a user-friendly GUI.
🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain. Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.
Murf AI's 30 Days of AI Voice Agents Challenge
A real-time data pipeline project using Kafka, MongoDB, Elasticsearch, and PySpark. Streams raw data from Kafka, enriches it with sentiment analysis using Hugging Face models, stores results in MongoDB, and visualizes data in Elasticsearch with Kibana. Scalable solution for real-time data analytics and machine learning.
DELPH is a full-stack monitoring system designed to provide a seamless user experience for managing and visualizing data. It features a React-based frontend, a FastAPI backend, and a PostgreSQL database, all orchestrated using Docker for easy deployment.
Streaming kafka events using Spark in avro format and saving the events in parquet format
Modular Dockerized ROS2 Humble boilerplate for extensible camera streaming and AI/ML processing (e.g., YOLO annotations)
XRDrone is a real-time drone-to-VR search-and-rescue system for wildfire response that streams live video to a headset, runs on-device YOLO detection/segmentation for humans, fire, and smoke, renders stable VR overlays and a minimal HUD, and supports post-flight Cesium visualization.
A multi-path solution for transmitting data between devices using multiple protocols, with a focus on real-time point cloud video transmission.
An interactive AI platform with both terminal and web-based interfaces for real-time model interactions, featuring dynamic model integration and immediate feedback streaming. Developed by *The Vanguards*.
🚀 Enterprise MCP Server with Admin Panel & Role-Based Security Production-ready Model Context Protocol server with FastAPI backend, React frontend, and advanced security features. ✨ Features: Admin Panel • RBAC • AI Analytics • File Management • Real-time Streaming Built with FastAPI, React, and modern web technologies.
Stateless Mind: Architecting Serverless Blueprints and Probabilistic Intelligence
This project is a centralized,fault-tolerant Data Engineering Pipeline designed to ingest,process & visualize user data generated in real-time.It leverages Apache Airflow for orchestration, Kafka for message buffering, Spark Structured Streaming for high-speed processing & Cassandra for storage.The final output is visualized at Streamlit Dashboard.
Semiconductor wafer telemetry processing platform demonstrating modern data engineering pipelines. Handles 1000+ msg/sec with auto-scaling consumers, 7-day replay capability, and zero-downtime deployments. Real-world patterns for 24/7 fab operations: self-healing, exactly-once semantics, and data loss prevention.
Repository contains java application code to stream records to a Kinesis Stream, consume , de-duplicate and strictly order records and display records on a dashboard
Comprehensive Big Data Engineering learning repository featuring hands-on projects with Hadoop, Spark, Kafka, Docker, Airflow, and Azure Cloud. Includes end-to-end data pipelines, real-time streaming, and distributed processing implementations.
Simulates a real-time Smart City data pipeline with Kafka, Apache Spark, and S3. Streams and processes vehicle, GPS, weather, traffic, and emergency data with Dockerized components and Parquet storage for efficient, scalable data engineering
Real-time bridge service that connects Twilio Voice calls to AWS Bedrock Nova Sonic for AI-powered voice conversations.
Real Time Streaming on the Arduino Car with Android App Controller
Real-Time Data Pipeline: Postgres CDC → Kafka → Spark Streaming → MySQL → Live Dashboard
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