Agentathon 2025: Join Hyderabad's Biggest ever AI Hackathon!
GDG Hyderabad invites you to join us in a historic undertaking: Agentathon 2025! We are hosting the largest Agentic AI Hackathon ever attempted, with the audacious goal of breaking a World Record. This landmark event aims to position Hyderabad as a global hub for AI innovation and showcase India's tech leadership worldwide.
- What: An intensive, in-person Agentic AI Hackathon focused on solving real-world problems using cutting-edge AI agent technologies.
- When: December 20-21, 2025. This is two days of intensive innovation, collaboration, and groundbreaking AI development.
- Where: To be disclosed soon
Proudly hosted by GDG Hyderabad (Google Developer Groups), the city's largest developer community with over 15,000 active developers and tech enthusiasts. It's a movement to establish Hyderabad as the AI capital of India , bringing together the brightest minds committed to pushing boundaries. Hyderabad, with its fastest-growing AI community in India, is ready to claim its place as the epicenter of AI innovation.
Why You Must Participate
- Make History: Be one of the 2,300+ developers to set a new World Record and create a legacy as part of Hyderabad's biggest AI event.
- Innovation: Gain first access to groundbreaking AI projects and solutions and discover potential partnerships.
- Community: Collaborate with thousands of developers and tech enthusiasts in the city's largest developer community.
- Spotlight: Put yourself and the city on the global AI innovation map.
💰 Prizes and Key Dates
This is not just about making history; it's about rewarding innovation!
Cash Prizes: There are exciting cash prizes to be won!
Prize Reveal: The exact cash prize amounts will be revealed on November 25th via our official channels: LinkedIn, WhatsApp, and Instagram. Make sure you're following us!
Problem Statements: Your Challenge Awaits!
We've been on the ground, listening to the needs of government, public sectors and MSMEs, and we've collected high-impact challenges that are perfect for Agentic AI solutions. You can use these statements as the foundation for your project idea, or bring your own game-changing concept!
🎯 High-Impact Challenges for Government & Public Sector Agents
- Detecting sophisticated fraud, waste, and abuse in public expenditure is slow and reliant on statistical sampling due to the overwhelming volume of disparate, unstructured financial documents and transaction data. (Public Financial Management & Auditing)
- Ensuring continuous compliance with complex, constantly evolving regulatory and tax laws requires massive manual effort to cross-reference new transactions against specific legal clauses. (Public Financial Management & Auditing)
- The process of evaluating vendor bids and ensuring the selected bid fully complies with all legal, ethical, and technical requirements is complex, document-intensive, and prone to human oversight or bias. (Government Procurement & Contracting)
- Rapidly detecting and tracking sources of pollution (e.g., illegal dumping, chemical spills) across large geographical areas requires correlating real-time sensor data, satellite imagery, and municipal records, which are currently siloed. (Environmental & Resource Management)
- Critical government services are fragmented because data is trapped in siloed legacy systems that use incompatible data formats, standards, and semantic meanings, preventing seamless cross-departmental workflows. (Data Interoperability & Legacy Systems)
- Automatically assessing the impact of a new public policy (e.g., changes to zoning or licensing) on specific vulnerable populations requires integrating and reasoning over diverse demographic, economic, and geographic datasets. (Policy Implementation & Risk Assessment)
💼 MSME & Business Innovation Agents
- Providing 24/7 personalized, high-quality customer support is resource-intensive for MSMEs, leading to long wait times and inconsistent quality, especially for inquiries requiring cross-referencing past transactions or product manuals. (Customer Support & Service)
- MSMEs struggle to maintain a consistent, engaging online presence because they lack the resources to rapidly generate tailored marketing content (e.g., social media posts, email campaigns, blog summaries) that adapts to real-time market trends and customer feedback. (Marketing & Content Generation)
- Small businesses often fail due to unexpected cash flow issues because they lack the tools to proactively forecast short-term financial needs, requiring manual consolidation of data from accounting, sales, and inventory systems. (Financial Forecasting & Cash Flow)
- Optimizing inventory and ordering is difficult for MSMEs due to the lack of a system that can autonomously predict optimal reorder points by correlating fluctuating supplier lead times, seasonal demand shifts, and warehouse capacity. (Supply Chain & Inventory Management)
- Rapidly and effectively onboarding new employees is inefficient because institutional knowledge and standard operating procedures (SOPs) are scattered across documents, emails, and shared drives, requiring extensive manual effort from trainers. (Employee Onboarding & Training)
- Staying competitive requires constant monitoring of rivals, but MSMEs lack a system to autonomously gather, structure, and synthesize competitive intelligence (e.g., pricing changes, new product launches, customer sentiment analysis) from disparate public sources. (Competitive Analysis & Market Research)
- Making informed business decisions is hampered because critical operational data is trapped in multiple, incompatible software systems (e.g., CRM, ERP, e-commerce platform), preventing a unified, real-time view of business performance. (Data Integration & Business Intelligence)
- Sales teams waste significant time pursuing low-quality leads because they lack an agent that can autonomously qualify and enrich inbound leads by cross-referencing public company data, past engagement history, and defined ideal customer profiles. (Sales Lead Qualification)
What problem are you solving? Let's get planning! 💻