Showing posts with label #MachineLearning. Show all posts
Showing posts with label #MachineLearning. Show all posts

Tuesday, 17 February 2026

MODERN END TO END IBRD CREDIT SCORE AI PREDICTOR FULL STACK WITH CHAT ASSISTANT APPLICATION DEVELOPMENT, TESTING, AND CI/CD

 MODERN END TO END IBRD CREDIT SCORE AI PREDICTOR FULL STACK WITH CHAT ASSISTANT APPLICATION DEVELOPMENT, TESTING, AND CI/CD

 

🔷 Development: Modular React frontend + Node proxy + FastAPI ML — component-first UX fixes and clear error propagation for robust predictions. 

 

🟩 Unit Testing: Jest + React Testing Library verify component logic and edge handling (form, chatbot, error flows). 

 

🟨 Feature / E2E: Cucumber feature specs + Playwright exercise full user journeys (form scoring, chatbot insights, internet comparison). 

 

🟥 API Smoke: Postman/Newman validate proxy ↔ ML connectivity and quick failure detection. 

 

🟪 CI Orchestration: azure-pipelines.yml automates lint → test → build → containerize → publish; uses docker-compose*.yml to reproduce environments. 

 

🟧 Health & Stability: Pipeline health/wait gates prevent flaky E2E runs; tests assert styled fallbacks (red-on-yellow) for service outages. 

🔎 Visibility: CI publishes HTML/JUnit reports and coverage (Cobertura) so regressions are traceable across test → UAT → prod. 

 

 YouTube Play List:

 
 
MODERN E2E IBRD CREDIT SCORE AI PREDICTOR FULL STACK WITH CHAT ASSISTANT APPLICATION DEVELOPMENT 
 

 
 MODERN END‑TO‑END IBRD CREDIT SCORE AI PREDICTOR – FULL‑STACK & CHAT ASSISTANT TESTING PIPELINE

 
 
 
MODERN END‑TO‑END IBRD CREDIT SCORE AI PREDICTOR – FULL‑STACK & CHAT ASSISTANT CI/CD PIPELINE
 


 

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Wednesday, 31 December 2025

🎬 AI-Powered Stock Price Movement Prediction: Playwright + Python + Claude Desktop LLM + MCP Server Demo

🎬 AI-Powered Stock Price Movement Prediction: Playwright + Python + Claude Desktop LLM + MCP Server Demo



🚀 Watch an end-to-end AI-powered stock price movement prediction system in action!

In this demo, I showcase a complete pipeline that predicts stock price movements using modern AI and automation tools. The system analyzes Reliance Industries Ltd (RIL) stock data scraped from BSEIndia.com and delivers human-readable predictions. 



🔧 𝗧𝗢𝗢𝗟𝗦 & 𝗧𝗘𝗖𝗛𝗡𝗢𝗟𝗢𝗚𝗜𝗘𝗦 𝗨𝗦𝗘𝗗:

✅ Playwright Python — Web automation for scraping live stock data
✅ Machine Learning — Predictive model for forecasting close price
✅ Claude Desktop LLM — AI-powered analysis and summarization
✅ Local MCP Server — Custom MCP server connecting all components


📊 𝗪𝗛𝗔𝗧 𝗧𝗛𝗜𝗦 𝗗𝗘𝗠𝗢 𝗖𝗢𝗩𝗘𝗥𝗦:

🔷 Real-time data scraping from BSEIndia.com
🔷 Automated capture of market depth & financials
🔷 Generation of analytical visualizations:
         ⭐ Open/High/Low/Close Price Comparison Chart
         ⭐ Trading Volume & Spread Analysis
         ⭐ Future Close Price Predictions Table
🔷 AI-powered summarization into actionable insights



🛠️ 𝗠𝗖𝗣 𝗦𝗘𝗥𝗩𝗘𝗥 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗨𝗥𝗘:

⚡ Tool 1: run_playwright_test — Executes Playwright script
⚡ Tool 2: summarize_outputs — Processes graphs for Claude LLM




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