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📌 Project Demo: Newsly Remastered – AI-Powered News App
Welcome to the full walkthrough of Newsly Remastered, a solo-developed, full-stack AI news platform inspired by Headlyne. This project showcases how modern AI tools like LLMs, vector embeddings, and real-time data scraping can be combined to deliver a highly personalized and contextual news experience.

In this video, I’ll show both the original features and the newly added functionalities:

🔧 Core Features:
• Live web scraping from trusted news sources using custom multi-threaded scrapers
• AI-enhanced article generation using Gemini LLM via LangChain
• Contextual chatbot on every news card built with LangGraph
• Voice input support (with speech recognition and WebM → WAV handling)
• Custom search engine with Yahoo Search + fallback scraping (no API cost)
• Clean UI built using React + Bolt.AI
• FastAPI + PostgreSQL backend architecture

🆕 New Features Introduced in This Video:

“For You” Section – Personalized News Feed
↳ Uses vector embeddings to calculate similarity with liked/disliked articles
↳ Displays a real-time probability score for user interest

Fully Detailed News View – Contextual Expansion
↳ Performs live web search to gather more context
↳ Processes extended data through Gemini LLM for long-form, in-depth news generation

🔗 Explore the project further:
• LinkedIn Overview:   / urn:li:activity:7347952350495416322  
• Technical Breakdown (Medium): https://lnkd.in/gRf3Bmen
• GitHub Source Code: https://lnkd.in/gmgGpDYv

🎯 Tech Stack:
FastAPI • LangChain • LangGraph • Gemini LLM • PostgreSQL • React • Bolt.AI • speech_recognition

💬 If you find this useful, consider liking, subscribing, and sharing your thoughts in the comments. I’d love to hear your feedback or feature suggestions!

#Tags:
#AI #LLM #FastAPI #LangChain #GenerativeAI #Gemini #React #VectorSearch #NewsApp #AIProjects #FullStackDevelopment #PersonalizedNews #SpeechRecognition #LangGraph #WebScraping #HeadlyneClone #SoloDeveloper #OpenSourceAI #Newsly #ChatbotIntegration #TechDemo