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PPetrichormeteosource.hashnode.dev5d ago · 6 min read

Build a wind generation forecast dashboard in Python

A wind farm's output has nothing to do with the clock and everything to do with the weather. Unlike solar, which follows a predictable daily curve, wind generation can spike at 2am and drop to almost

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AMArjun Manoj Kumarcontent.mkarjun.comAug 10 · 8 min read

Rebuilding An Internal Sales Copilot on Databricks

We have a small internal Streamlit app that helps our sales team — answer sheets, discovery prompts, objection rebuttals, all grounded in Abilytics decks and case studies. It's not customer-facing. It

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MAMohammed Abdul Wahedwahedtechhashnodedev.hashnode.devAug 7 · 3 min read

Building a RAG AI Agent with Google ADK, Streamlit, and Cloud Run – My Hands-on Experience

Building a RAG AI Agent with Google ADK, Streamlit, and Cloud Run – My Hands-on Experience Introduction As part of the Google Cloud Gen AI Academy APAC Edition, I completed a hands-on codelab where I

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AKAyush kumarayush6318.hashnode.devAug 3 · 10 min read

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Introduction YouTube has quietly become one of the biggest learning platforms in the world. Lectures, conference talks, tutorials, interviews — there's a video for almost everything. But it comes with

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DSDevi Sri Ramasamydevisriblogs.hashnode.devJul 30 · 4 min read

Building an AI-Based Crop Recommendation & Fertilizer Suggestion System Using Machine Learning and Streamlit

Introduction: Agriculture is the backbone of many economies, yet farmers often struggle to decide which crop is most suitable for their land and what fertilizer should be applied to maximize yield. To

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NHNiha Hawascodebyniha.hashnode.devJul 21 · 6 min read

Building a Neural Network Classifier with Python: From Theory to Deployment

Python • NumPy • Scikit-Learn • Streamlit Introduction Artificial Intelligence has always fascinated me, but understanding neural networks through lectures and theory was not enough. I wanted to see h

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DSDarsh Shahfreecodecamp.orgJul 20 · 12 min read

How to Serve a Multi-User AI Agent with FastAPI and Streamlit

In this tutorial, I’ll show you how to serve a multi-user local AI agent as a REST API using FastAPI, then add a lightweight Streamlit UI on top. Instead of interacting with the agent through a termin

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MKMohit Kumarmohitkumar1.hashnode.devJul 14 · 12 min read

I Gave an AI Control of an 80,000-Seat Stadium — Here's How I Kept It on a Leash

By Mohit Kumar On October 1, 2022, a crowd crush at Kanjuruhan Stadium in Indonesia killed 135 football fans. Twenty-eight days later, a crowd surge in a Seoul alleyway killed 159 people during Hallo

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DCDmitry Chervonyilivemyapp.hashnode.devJul 10 · 7 min read

How to deploy a Streamlit app in 2026 (beyond Community Cloud)

Most of the data tools I see people build with AI lately arrive as Streamlit scripts. Ask ChatGPT or Cursor for "a Python app that visualizes my sales data" and the answer usually comes back as one, c

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AAKSHAYakshayetukurihashnodedev.hashnode.devJul 4 · 6 min read

Predicting Customer Churn Before It Happens: An End-to-End ML Project with SHAP Explainability

How I built, explained, and deployed a churn prediction model — twice. The Problem Nobody Likes to Talk About Every subscription business has the same quiet fear: customers leaving without warning. In

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Trending tags this week

Build a wind generation forecast dashboard in Python

Rebuilding An Internal Sales Copilot on Databricks

Building a RAG AI Agent with Google ADK, Streamlit, and Cloud Run – My Hands-on Experience

Turning Any YouTube Video Into a Personal Study Companion: Building the YouTube Study & Research Studio

Building an AI-Based Crop Recommendation & Fertilizer Suggestion System Using Machine Learning and Streamlit

Building a Neural Network Classifier with Python: From Theory to Deployment

How to Serve a Multi-User AI Agent with FastAPI and Streamlit

I Gave an AI Control of an 80,000-Seat Stadium — Here's How I Kept It on a Leash

How to deploy a Streamlit app in 2026 (beyond Community Cloud)

Predicting Customer Churn Before It Happens: An End-to-End ML Project with SHAP Explainability