
Imagine you are at a friend's place and they bring out a board game you don't know. Traditionally, that would mean your friend has to explain it or you have to painstakingly read the manual for a solid hour to grasp what the game is about! That's where our project Aatam comes in. It can help you learn the game very quickly with a chatbot and video generator that explains the new game based on games you may have played before. It is powered by powerful Gemma model running on AMD servers. Gemma because it is the smartest model in it's category(based on number of parameters), and AMD because it is cheap scalable and replicable. We hope you find good use for it and learn fun, new boardgames along the way!
18 Oct 2026

QuantNova is an explainable options-trading research terminal built for Alpaca paper accounts. It combines quantitative market analysis, market-regime detection, specialized AI agents, structured trade decisions, real option-contract resolution, and deterministic risk controls into one end-to-end workflow. QuantNova uses Alpaca market data and calculates technical indicators including moving averages, RSI, ATR, MACD, Bollinger Bands, ADX, momentum, realized volatility, volume ratio, VWAP, support, and resistance. These signals are combined into an eight-factor market score and used to classify market conditions. The multi-agent decision engine includes a Market Analyst, Opportunity Scanner, Options Strategist, and Devil's Advocate. The AI proposes a trade, while the deterministic risk manager decides whether execution is allowed. The system validates account conditions, portfolio exposure, position size, collateral requirements, strategy support, confidence, contract validity, and maximum loss. Invalid decisions fail closed to HOLD. QuantNova supports dry-run cycles, backtesting, and Alpaca paper execution while keeping trading auditable and risk-aware.
4 Sep 2026

MarketScout AI is an autonomous multi-agent platform built for the AMD Developer Hackathon Act II to help entrepreneurs, researchers, innovators, and investors validate startup ideas faster and make data-driven decisions with confidence. Validating a startup idea typically requires hours or days of manual research across competitor websites, scientific publications, patent databases, funding platforms, and market reports. This fragmented process slows innovation and makes it difficult to identify truly promising opportunities. MarketScout AI solves this challenge through a team of 12 autonomous AI agents that collaborate to automate the entire validation workflow. Starting from a single startup idea, the platform performs competitor analysis, scientific literature review, patent discovery, funding research, market trend analysis, research gap identification, innovation scoring, business validation, strategic planning, knowledge graph generation, and automated report creation. The platform delivers an interactive dashboard with competitor insights, market opportunities, SWOT analysis, funding recommendations, innovation scores, strategic guidance, and a visual knowledge graph that connects technologies, research, competitors, and investments into one unified view. Powered by Fireworks AI running advanced large language models on AMD Cloud Infrastructure with AMD Instinct GPUs, and built using Next.js and Tailwind CSS, MarketScout AI provides fast, scalable, and autonomous AI reasoning. As part of the Expected Unicorn Track, our vision extends beyond validating ideas. We aim to help founders discover high-potential, billion-dollar startup opportunities by combining autonomous AI research with actionable business intelligence. MarketScout AI acts as an AI startup co-pilot, reducing research time from days to minutes while helping innovators identify market gaps, evaluate opportunities, and build the next generation of unicorn startups.
13 Jul 2026