👋 Ahmad Ali Rafique here! | AI Automation Specialist 🤖 | Building Intelligent Agentic Systems | Workflow Automation Expert | Microsoft & Google Certified
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An interactive AI chatbot using Streamlit and Google Gemini API. This project showcases a user-friendly interface for interacting with a generative AI model.
A Streamlit-based Urdu Voice Chatbot: This project demonstrates an interactive Urdu voice chatbot built using Streamlit and integrated with Google's speech recognition and text-to-speech services, as well as Gemini’s Generative AI model. Users can record their voice in Urdu, receive responses in Urdu, and interact with an AI-powered chatbot.
This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.
A Streamlit application for predicting house prices in the USA using a linear regression model.
A comprehensive MNIST digit recognition project with a Streamlit dashboard, neural network model, and Jupyter notebook. Includes all necessary files for training, testing, and deploying the model.