Smart Automation & Communication with AI
AI-based assistant system built on local large language models (LLMs) and vision-language models (VLMs), designed to enhance automation, communication, and intelligent interaction across platforms and real-time image processing systems.
Local deployment of LLMs (Ollama, Llama.cpp) for fast and private AI processing
Open API for connecting AI capabilities to external applications
Real-time object identification using camera and VLMs
Contextual AI replies via WhatsApp for assistance and inquiries
Deployed using Ollama and Llama.cpp for efficient local inference
Integration with vision-language models for image understanding
RESTful API design for easy integration with existing systems
WhatsApp integration for conversational AI
Real-time camera feed processing with object detection
Resource optimization for deployment on standard hardware
Optimizing model performance on limited hardware resources
Integrating multiple AI models in a cohesive system
Ensuring data privacy and security with local processing
100% data privacy with fully local processing
Rapid response times for user queries
Automated visual inspection capabilities