<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/42b36ab0bc3b47e884ac56e97d7ded34&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/42b36ab0bc3b47e884ac56e97d7ded34-75c2535989f0f6b9.gif</thumbnail_url><duration>136.519</duration><title>CrickVision AI IPL Match Intelligence Overview</title><description>This Loom presents CrickVision AI, an IPEL match intelligence and tactical analytics platform built with Python Streamlit, Pandas, NumPy, and Plotly. The creator explains how users can select a season, team, and specific IPL match, and then view live momentum analysis showing control shifts, wicket and turning point highlights, and pressure index tracking for collapses and momentum breakdowns. It also covers advanced analytics including win probability evolution, phase dominance, venue intelligence, player impact analysis, and match intensity. A key component is an AI tactical match summary that turns raw cricket data into readable tactical insights and match narratives, fully deployed on Streamlit Cloud with GitHub integration.</description></oembed>