Mohammed Nasiruddin

MNK Voice Agent is an end-to-end AI platform designed to automate high-volume customer interactions across voice and digital channels. By combining proprietary orchestration with the Gemini 2.0 Flash ecosystem, MNK allows enterprises to resolve up to 80% of common queries autonomously while maintaining a human-like, low-latency experience.

Exploring the free, zero-auth Pollinations.ai API for high-quality, text-to-image generation. This project demonstrates simple integration and prompt engineering techniques to power my MLOps and Agentic AI projects with custom visuals. A perfect MWE for Generative AI without API key fuss.

AI-powered WhatsApp Assistant built with n8n, OpenAI, and WhatsApp Cloud API. Supports text, voice, and images with multimodal responses, memory, and tools like web search & knowledge base.

A lightweight Express.js REST API for text summarization. It provides a /summarize endpoint to shorten long text into a concise summary, and a /health endpoint for status checks. Built with Node.js, supports JSON requests, and can easily be extended to use AI-powered summarizers like OpenAI GPT or HuggingFace Transformers.

MemoryAgent is a memory-aware conversational workflow built using LangGraph and LangChain. Its purpose is to enable AI agents to extract, store, and recall user-specific memories across interactions, making conversations more contextual, personalized, and continuous over time.

An intelligent WhatsApp AI assistant built with **n8n**, **Google Gemini**, and **LangChain** that understands text, voice notes, images, and videos. The assistant processes different message types, maintains conversation memory, retrieves knowledge from Wikipedia, and responds directly on WhatsApp.