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Achievements

Achievement: Pull Sharkx2Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Galaxy BrainAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: Galaxy BrainAchievement: YOLOAchievement: Quickdraw

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ai-28/README.md

AI & Full stack

I am an AI Full Stack Engineer who builds end-to-end intelligent applications, integrating machine learning models, backend systems, and frontend interfaces. I specialize in creating scalable, secure, and user-focused AI solutions from data processing to deployment.

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  1. Speech-Emotion-Recognition Speech-Emotion-Recognition Public

    This GitHub repository is dedicated to the development of a Speech Emotion Recognition (SER) model using Python libraries Convolutional Neural Network, Keras, Pandas, Numpy. The goal of this projec…

    Jupyter Notebook 28 1

  2. AI-real-time-voice-agent AI-real-time-voice-agent Public

    A real-time voice-to-voice conversation system that enables natural, fluid interactions with AI. This system processes human speech, understands context, and responds with natural-sounding voice, a…

    Python 10

  3. Client-health-journey Client-health-journey Public

    Developed an innovative, multi-role health tracking platform supporting clinics, wellness coaches, and clients. Implemented secure real-time chat and daily client check-ins for weight, mood, exerc…

    JavaScript 10

  4. Ecommerce-AI-agent Ecommerce-AI-agent Public

    Welcome to E-Commerce System – a cutting-edge, full-featured online shopping solution built for seamless user experiences, efficient management, and powerful AI capabilities. This project integrate…

    JavaScript 10

  5. RAG-Deployment-with-Azure-Functions RAG-Deployment-with-Azure-Functions Public

    Full Q&A pipeline using LangChain framework, Qdrant as vector database and Azure Function with HttpTrigger. - Research papers that can be loaded into the vector database, and the Azure Functions pr…

    Python 10

  6. Scalable-RAG-in-AWS-with-Fargate Scalable-RAG-in-AWS-with-Fargate Public

    This repository contains a full RAG application using Terraform as IaC, LangChain as framework, AWS Bedrock as LLM and Embedding Models, AWS OpenSearch as a vector database, and deployment on AWS O…

    Python 9