{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d80c8bbeede3447889dc0e199869baac\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d80c8bbeede3447889dc0e199869baac-f0a9e9355a93f985.gif","duration":134.701,"title":"Game Lich AI Number Guessing Improvements 🎮","description":"Hi, my name is Shana Genta, and I presented my Game Lich project, an interactive AI power and number guessing game built with Streamlit. The easy mode uses a 1 to 20 range, normal is 1 to 100 with 8 attempts, and hard is 1 to 500 with 8 guesses. I implemented an AI strategy that acts like an agent, analyzing prior guesses and using binary search to pick the next best move. During the demo, I showed sample inputs with too high and too low feedback, plus AI guidance on the remaining range. I did not ask the viewers to take any specific action."}