Rania MD@Rainay

When you're interviewing, it's important to focus on the process and listen carefully to the interviewee and get into the process. But when you're constantly distracted by taking notes and looking at a list of questions, you lose your effectiveness and maybe forget to ask something. Our app is designed to save the interviewer from unnecessary activities and help him or her focus on what's important. Now the interviewer can take notes and try to write down the interview, because our app will do it for him. It will also review the entire resume and answer specific queries. This is just the basic functionality we managed to implement in 48 hours. In the future, the app can work in real time, toss questions and give hints, also will save the processed interviews

In "THE-12-DAEMONS-OF-XMAS," players enter a peculiar and shadowy rendition of Christmas, now overrun by 12 Daemons. Each Daemon embodies a distorted aspect of the traditional 12 Days of Christmas, creating a unique and challenging world. The game's hero, an unlikely character such as an elf or a disillusioned reindeer, is tasked with the monumental quest of saving Christmas. Players must navigate through various puzzles and challenges, each designed to test their wit and resolve. The game is created using Stability AI to generate game content on the fly to create a fully AI-generated game where every play-through is unique!

Lung cancer prediction, critical in oncology, benefits from AI, notably GPT-3.5 Turbo. It leverages diverse data, including demographics, medical history, genetics, environment, imaging, and clinical notes, to generate accurate risk assessments. GPT-3.5 Turbo's unique capabilities in natural language understanding enhance predictive models by extracting insights from unstructured data, refining risk stratification, and facilitating early detection and intervention. Its development involves rigorous steps of data collection, preprocessing, feature engineering, model selection, and evaluation to ensure robustness and generalizability, promising significant advancements in lung cancer care and patient outcomes.