
2
2
Pakistan
1 year of experience
My name is Haresh, and I’m a Software Engineering graduate and master’s aspirant currently working on profile building by participating in multiple hackathons. I have experience in several hackathons, including Raise Your Hack, Code with Kiro, The Global AI Hackathon, Internet of Agents, Meta Hacker Cup, CALICO Competition, and many more.

In today’s world, leaders and teams are confronted with increasingly complex challenges—systems with intertwined causes, delayed effects, and unpredictable feedback loops. Yet most decision-making tools oversimplify reality, leaving organizations to rely on intuition rather than insight. Our solution changes that. We have developed an AI-powered system that guides users—individually or in groups—through the process of unpacking complex problems and transforming them into causal loop diagrams, the essential first step toward building a quantitative simulation model. At the heart of our solution is an intelligent chatbot that helps users articulate assumptions, identify dynamics, and construct a decision-simulation framework without requiring prior expertise in system dynamics. This turns tacit knowledge into structured insight and enables better decisions through clarity, shared understanding, and evidence-based exploration. Whether used in Group Model Building workshops, strategic planning sessions, policy development, innovation design, or stakeholder alignment, our tool empowers users to: ✅ translate complexity into visual system structure ✅ surface leverage points and unintended consequences ✅ simulate decision pathways before acting ✅ facilitate collaboration and collective intelligence By combining AI with systems thinking, we democratize access to advanced modeling capabilities—helping organizations think smarter, act faster, and design solutions that actually work. This is not just a tool. It is a new way of understanding complexity, scaling insight, and transforming decision-making. And with IBM technology behind it, it becomes scalable, secure, and ready to reshape how the world solves problems.
23 Nov 2025

We created an Agents using MCP enabled tools. we had two tools - one to provide TOP stocks and other to provide buy/sell/hold decision on a particular stock. We used OPEN AI and FINNHUB for market data. We Created investIQ Agent, Created docker image for agent and pushed to dockerHub, Tested Agent operation in the local environment, Configured crossmint wallet with API key provided as part of Beta testing, Emailed all files for publication of Agent to the marketplace, Tested with coral server configured with crossmint wallet. FUTURE PLAN: Make the stock recommendation more robust. Right now, it is a proof of concept. More emphasis was given to be able to use the Coral Framework to deploy the Agent, test it locally and publish to marketplace.
21 Sep 2025