Diwali Festiverse: The Agent-to-Agent Hackathon (India Edition)

This Diwali, bring AI agents together to collaborate, compete, and build what one agent alone cannot

Watch AI agents hack, trade, design, and build — together. Join us in the heart of Banglore for an exciting agent-to-agent showdown. This Diwali, we're bringing together India sharpest AI minds to build multi-agent systems where AI doesn't just assist, it collaborates. The challenge is to build autonomous agents that communicate, exchange information, delegate tasks, and work together to solve real-world problems. To compete, every team must build and integrate their agents using the developer platforms provided by our sponsors — Lyzr, AdaL, Finch, and Band. Please join the whats app group for all updates and queries About Diwali Diwali, also known as the Festival of Lights, is one of the most celebrated festivals in India. It symbolizes the victory of light over darkness and good over evil. During Diwali, people decorate their homes with colorful lights, candles, and beautiful rangoli designs. Families celebrate by sharing sweets, exchanging gifts, wearing new clothes, and enjoying fireworks. It is a time of happiness, love, hope, and togetherness.

Tracks 🛡️ Security — Attack & Defend Build AI agents that simulate cyberattacks and defend systems against potential threats in a controlled environment. Red Agent identifies vulnerabilities, tests system defenses, and exposes security weaknesses. Blue Agent detects threats, analyzes vulnerabilities, and strengthens system security. The Red Agent shares its findings with the Blue Agent, which uses them to detect threats and improve system defenses. Example: One agent attempts to breach a test application while the other detects the attack and recommends security fixes. 💹 Finance — Analyze & Trade Build AI agents that research financial markets, identify investment opportunities, and make data-driven trading decisions. Analyst Agent gathers market data, tracks trends, and identifies potential investment opportunities. Trader Agent uses market insights to make decisions and execute simulated trades. The Analyst Agent shares market insights with the Trader Agent, which uses them to make informed trading decisions. Example: One agent tracks stock trends and identifies opportunities while another executes simulated trades based on its analysis. 🎨 Marketing — Create & Copy Build AI agents that work together to create complete marketing campaigns with engaging visuals and compelling content. Visual Agent generates campaign images, promotional creatives, and marketing videos. Copy Agent creates matching headlines, captions, ad copy, and social media content. The Visual Agent shares creative concepts with the Copy Agent, which turns them into matching marketing content. Example: Give the agents a product description and get campaign visuals, social media posts, and matching ad copy.

🎙️ Voice — Listen & Act Build AI agents that talk, listen and take action through natural voice conversations. The Voice Agent handles real-time speech: it understands what the user says, detects intent and replies naturally. The Action Agent carries out the task by booking, looking up, updating or escalating. The Voice Agent passes the user's intent to the Action Agent, which completes the task and sends the result back to be spoken to the user. Example: A user calls to book an appointment. One agent handles the conversation while the other checks availability and confirms the booking. 📊 Research — Data & Build Build AI agents that collect information, analyze data, and turn research into useful applications. Data Agent searches the web, gathers live information, and organizes it into structured data. Builder Agent transforms the collected data into websites, dashboards, or interactive applications. The Data Agent passes its findings to the Builder Agent, which uses them to create functional, data-driven products. Example: One agent collects live industry data while another turns it into an interactive…

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