<?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/205e9fbc94c945478139a985d5772964&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/205e9fbc94c945478139a985d5772964-51bc7625cae5b124.gif</thumbnail_url><duration>462.0952</duration><title>Building a Mental Health Chatbot: Features and Demonstration</title><description>Hello everyone, I&apos;m Rohit Khadka, a final year computer science student at Hirahara College, Kathmandu. In this video, I showcase a mental health chatbot I built using LangFrame, Python, and integrated voice features with OpenAI&apos;s Whisper API and 11Labs API. I discuss some of the functionalities, including how the chatbot responds to feelings of anxiety and depression, and I highlight the limitations of the free version of the voice feature. I encourage you to ask questions to test the chatbot&apos;s understanding and provide feedback on its capabilities. Thank you for watching!</description></oembed>