Build real products with Emergent's vibe-coding platform. Emergent AI creates production-ready applications from natural language—no developers required.

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Emergent 2.0 introduces an AI-powered platform that generates production-ready applications from natural language descriptions without requiring traditional coding skills. The platform uses what they call 'vibe-coding' to translate user intent into functional software applications.

Emergent 2.0: World's first agentic vibe-coding platform

<a href="url" target="_blank" rel="noopener nofollow">Crie</a> uma app de rádio web com nome chapasom digital completa utilizar a url <a href="http://uk6freenew.listen2myradio.com:37637" target="_blank" rel="noopener nofollow">http://uk6freenew.listen2myradio.com:37637</a>

I just tryed to sign up, using google and github auth but it doesn’t work

Erstelle eine Web-App „Fußball Ergebnis-Tipp“, die anhand historischer Spieldaten eine Ergebnisprognose für zwei Teams erstellt.
Funktionen:
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Eingabefelder: Heimteam, Auswärtsteam, Liga (z. B. Bundesliga), Spieltag/Datum (optional).
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Datenquelle: lädt historische Spiele aus einer CSV/JSON (Spieldatum, Heimteam, Auswärtsteam, Heimtore, Auswärtstore, Liga).
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Berechnung: erstellt Wahrscheinlichkeiten für Heim-Sieg / Unentschieden / Auswärts-Sieg und schlägt ein konkretes Ergebnis (z. B. 2:1) vor.
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Erklärungen: zeigt die wichtigsten Einflussfaktoren (Form der letzten 5 Spiele, Heim-/Auswärts-Tore, direkte Duelle).
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UI: einfaches, mobiles Webinterface mit Eingabe, Ergebnisbox, Statistikbereich und Hinweis „Nur zu Unterhaltungszwecken“.
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Export: Ergebnis + Begründung als Text (zum Kopieren).
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Modern websites often face design inconsistencies, poor visual hierarchy, and accessibility issues that affect user experience and usability. This project presents evaluates the UI/UX quality of any webpage. The system extracts key structural and visual elements-such as layout hierarchy, colour schemes, typography, spacing, and HTML/CSS componentsusing web-scraping and DOM parsing techniques. These extracted features are analyzed using predefined UI/UX rules and basic accessibility guidelines (WAG) to identify design flaws. Based on the identified issues, the system provides clear improvement suggestions and recommends suitable design templates that match the website’s type and content structure. This approach enables developers and designers to quickly understand design problems and choose better layouts, colour palettes, and typography styles. The proposed system offers an efficient, semi-automated solution for enhancing webpage design quality without requiring deep UI/UX expertise.