<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI projects on Kuldeep Pisda</title><link>https://kdpisda.in/tag/ai-projects/</link><description>Recent content in AI projects on Kuldeep Pisda</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Oct 2025 13:38:50 +0530</lastBuildDate><atom:link href="https://kdpisda.in/tag/ai-projects/index.xml" rel="self" type="application/rss+xml"/><item><title>10 Powerful Artificial Intelligence Ideas Ready for 2025</title><link>https://kdpisda.in/10-powerful-artificial-intelligence-ideas-ready-for-2025/</link><pubDate>Sat, 18 Oct 2025 13:38:50 +0530</pubDate><guid>https://kdpisda.in/10-powerful-artificial-intelligence-ideas-ready-for-2025/</guid><description>&lt;p&gt;It feels like we are all swimming in an ocean of AI hype. Every day brings a new model, a new demo, a new claim that changes everything. I get it. The noise can be overwhelming. As an engineer building these systems for startups, I have seen the struggle firsthand: leaders want to leverage AI, but the path from a cool concept to a production grade feature is filled with potholes. We once had a client come to us with a grand vision for an AI system, only to realize after a few weeks of exploration that the real, immediate value was hiding in a much smaller, more focused application.&lt;/p&gt;</description></item></channel></rss>