Talha Khan@Thk1

Ultimate application to support your language studying proces. Put your notes, scans of books, topic you are learning right now and the app will generate for you custom learning experience. Improve your language by solving quizzes (adjusted for the words and topic you are learning right now). Each quiz is unique and fun with different types of question (single-choice, short answer, describe image and etc) so you can work on your grammar, vocabulary and writing skills. Have and audio chat with a bot and improve your speaking and listening. Build your own library of words, phrase and topics to learn. The AI will use your input to generate custom exercises for you. Easily build library by uploading scans, pictures and notes. AI will process and build the library for you. Have any special requirements -> add them and our AI will adapt exercises to your custom needs.

In-Car AI Agents is an innovative project designed to make in-car artificial intelligence smarter and more responsive in offline scenarios. Currently, most AI-powered car assistants rely on internet connectivity to process commands, leaving drivers without key functionalities in areas with poor or no network coverage. Our solution aims to address this gap by deploying edge-based AI models that can function without Wi-Fi, allowing drivers to interact with their cars using voice commands for basic operations such as controlling the air conditioning, navigation prompts, and music playback. The system uses pre-trained voice recognition models and offline edge computing to deliver real-time responses to the driver’s requests, all processed locally. Additionally, the project explores simple computer vision tasks like lane detection, integrated to run without network dependency. Our vision is to make cars smarter, safer, and more autonomous without requiring constant internet access. By providing an MVP, we aim to showcase how AI in cars can be optimized for offline use, thus improving the overall driving experience in areas where internet connectivity is unreliable.