video1.0<iframe src="https://www.loom.com/embed/d80c8bbeede3447889dc0e199869baac" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/d80c8bbeede3447889dc0e199869baac-f0a9e9355a93f985.gif134.701Hi, 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.