Hammad Ismail@hammadismail

Questlog turns real life into a measurable, coachable system. Most task managers record what you plan to do, and most time trackers record what you actually did. Questlog does both, then closes the gap with an AI accountability companion you can talk to. The Windows desktop app (WPF, .NET 8) and a Chrome extension track your activity, classify it as productive or distracting, and feed a deterministic, explainable scoring engine. The score starts at 50 and every change has a stated reason, so it never becomes a black box or a judgment of you as a person. The voice experience is the heart of the project. You speak to the Dungeon Master through a mic orb, and audio streams at 16 kHz over AssemblyAI's Streaming v3 WebSocket using short-lived tokens minted by our FastAPI backend, so the real API key never reaches the client. When you finish speaking, a Groq-hosted Llama 3.3 70B agent uses tool calling to create, update, complete or delete quests and to generate a daily schedule. The reply is spoken back through Windows text-to-speech. Say "Schedule 2 hours of DSA and 1 hour of project work" and your quests and schedule fill in automatically. Next up: voice barge-in, XP and level-ups, background window tracking, and an end-of-day Campaign Debrief.

OFFLeash is an autonomous trading agent built to answer a critical question: what happens when AI agents inherit the behavioral mistakes of human traders? OFFLeash autonomously trades a momentum strategy through Alpaca Paper Trading, generating signals every 5–15 minutes while the market is open. Before any proposed trade is executed, it passes through four deterministic behavioral guardrails: oversized positions, overexposure, revenge trading, and overtrading. The key innovation is that the guardrails are completely independent of the LLM. Decisions are made using fixed, auditable rules—not language-model judgment. A human can override a blocked trade from the dashboard, but the autonomous agent cannot override its own guardrail. OFFLeash also measures the counterfactual impact of restraint by tracking what blocked trades would have earned or lost, turning “doing nothing” into a measurable P&L outcome. Its behavior gap compares actual trading performance against a passive buy-and-hold baseline to quantify the cost of selling decisions. The platform includes a real-time dashboard, trading journal, analytics, decision history, natural-language chat, configurable automation, CLI tools, and an MCP server. All trading is paper-based, making OFFLeash a practical environment for testing whether autonomous agents can trade while remaining behaviorally accountable.

Pakistan's agriculture sector faces a recurring challenge: farmers often make planting decisions without access to reliable data about market demand, cultivation trends, or future risks. This frequently results in crop oversupply, falling prices, and major financial losses. KisanNama is an AMD-powered, multi-agent AI platform that helps Pakistani farmers choose the right crop before planting. By combining agricultural data, market trends, and large language models, it delivers personalized recommendations that reduce risk and improve profits. The platform uses four AI agents, each with a specific role. The Data Agent retrieves district crop data, the Risk Agent estimates oversupply risk from year-over-year planting trends, the Market Agent analyzes historical prices, and the Strategy Agent recommends suitable and alternative crops. Together, they provide practical, data-driven advice tailored to each farmer. To improve accessibility, KisanNama generates responses in Urdu and English at the same time, letting farmers use their preferred language. Recommendations stream in real time using Server-Sent Events (SSE), while text-to-speech converts AI responses into natural speech for users with limited literacy. Built with FastAPI, CrewAI, Gemma 4 31B on a self-hosted vLLM server running on AMD cloud GPUs, and PostgreSQL, KisanNama showcases how agentic AI can solve real agricultural problems. The platform also includes JWT authentication, chat history, and an admin dashboard for managing crops, districts, cultivation records, and market prices. Our goal is to give farmers timely, data-driven insights that reduce planting risk, increase income, and promote sustainable farming. By bringing advanced AI to local languages, KisanNama bridges the gap between modern technology and Pakistan's farming community

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🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.