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BullCast

BullCast is an AI-powered financial agent that lets users make seamless transfers and investments via natural language. It also offers AI-driven market predictions across different timeframes. Users can bet on future prices against the AI’s prediction, to win tokens! 🚀💰

BullCast

Created At

Agentic Ethereum

Project Description

BullCast is an AI-powered financial agent that enables seamless transfers and investments through natural language. This greatly facilitates the onboarding of new users, especially those, who do not have much experience with crypto. They can send funds, manage their portfolio, and place investment orders just by speaking or typing.

Beyond transactions, BullCast provides AI-driven market predictions across multiple timeframes (e.g., 1 hour, 1 day). Users can challenge the AI by betting on future prices—if their prediction is closer to the actual market price than the AI’s, they win tokens!

With intuitive AI assistance, real-time insights, and gamified predictions, BullCast makes finance more accessible, engaging, and rewarding.

How it's Made

BullCast is built with a TypeScript-based Express backend, chosen for its scalability, type safety, and strong developer ecosystem. TypeScript ensures a robust API with fewer runtime errors, making it ideal for handling financial transactions and AI interactions.

The AI agent is powered by ElizaOS with a custom plugin, allowing natural language processing for seamless transfers and investments. This setup enables users to interact intuitively without complex commands, enhancing accessibility.

On the frontend, we use Next.js and React, balancing performance, SEO benefits, and a modern UI/UX. Chakra UI provides a clean, accessible, and customizable component system, streamlining development without sacrificing aesthetics.

For deployment, we leverage Docker, ensuring a consistent, containerized environment across different infrastructures. This makes scaling and maintaining BullCast much easier.

One particularly notable feature is the market prediction challenge, where users bet against our self-trained and compiled keras prediction model. This gamified approach not only enhances engagement but also tests the AI’s market modeling in a unique, interactive way.

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