Website Generator
The Website Generator project is focused on creating a software tool for generating HTML code from an image or text. The goal of the project is to simplify the website building process and make it accessible to a wider audience with little to no coding experience. The project includes the design and implementation of a userfriendly interface for uploading images or text, a server for processing the image or text, and the ability to customize the generated HTML code. The project uses computer vision algorithms and image processing techniques for converting images into HTML code and Named Entity Recognition (NER) for converting text into HTML code.
Raspberry pi based vehicle starters on face detection and voice commands: “Smart Vehicle”
As the number of thefts and identity fraud has become a serious issue and with the increase of accidents rate, and the need for smart and flexible dealing with the vehicle becomes necessary, the idea of this project is born. Which aspire to develop a security access control application based on face recognition algorithms and which receives voice commands from the user to fulfill certain requests. Also, ensure that the eyes remain open while driving to avoid accidents. In addition, it stores all feelings and person’s data in the event of an accident and detects the car’s location. This all is done in an embedded device known as Raspberry Pi. The project has four modules, face recognition module, speech recognition module, accidents and emotions detection and sleepiness detection module.
AI in drug discovery
Constitutes the refereed proceedings of the First international workshop on ai in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.


