Muhammad Adnan Tariq@adnan-tariq

The Voice-to-Voice AI Chatbot will be the next generation in conversational AI, further envisioned to permit the voice-based interaction with the accuracy; it will use the Whisper model from OpenAI for high-quality transcription of audio into text and combine this functionality with the AI/ML API to generate insightful and contextually relevant responses. By mere speech to the chatbot, which processes audio input, sends it to the AI model for intelligent analysis and then responds both in text and synthesized speech by using gTTS. It is a completely innovative tool that advances user interaction through real-time, natural conversations, fitting this tool perfectly for applications like virtual assistants, customer support, and even interactive learning environments.

BandOptimizer is an innovative AI/ML-powered web application designed to optimize bandwidth usage for public sector schools and hospitals. Built with Streamlit, the app provides administrators with actionable insights by analyzing uploaded CSV files containing network data. With the power of predictive analytics, bandOptimizer categorizes bandwidth usage patterns, helping organizations manage resources more efficiently and reduce costs. The app features an intuitive interface, making it accessible for non-technical users, and includes sample datasets to ensure ease of testing. By leveraging modern technologies like Python, Pandas, and Matplotlib, bandOptimizer empowers users to make data-driven decisions for improving network performance and optimizing resource allocation.