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I need a hands-on Proof of Concept that lets me judge whether an AI/ML solution is worth scaling up. The PoC must move beyond slides and theory: I want code I can run, metrics I can inspect, and a short demo that shows the idea in action. My current inclination is to explore a Reinforcement learning approach, so the prototype should revolve around that paradigm—state definition, reward engineering, training loop, and performance benchmarking. If you believe a hybrid or alternative method will surface better insights, explain why and we can adjust. Scope of work • Clarify business and technical goals with me at the outset. • Prepare an appropriate sample dataset or simulated environment, documenting any assumptions you make about data generation or cleaning. •...

I am working on an academic research project focused on multi-cloud resource orchestration using a decentralized framework called IMACO (Intelligent Multi-Agent Cloud Orchestration). Currently, I have implemented a Python-based simulation system that includes: Task scheduling using real workload data (Google Cluster Workload Traces) Existing scheduling strategies: Round Robin (RR) Cost-based scheduling IMACO (adaptive rule-based scheduler) objective : I want to extend the system by implementing: 1. MAS-Cloud+ (Multi-Agent System) Each cloud provider should act as an independent agent Agents evaluate tasks using scoring logic (cost, latency, load, SLA) A coordinator selects the best agent for task allocation Output must match existing format for comparison 2. Reinforcement Learning Inte...

I need an end-to-end, AI-driven algorithmic trading system that runs seamlessly in both the US and Indian equity markets. The bot’s sole trading style is scalping, so execution speed, tight risk control, and reliable real-time data handling are non-negotiable. Key scope • Broker connectivity – native API integration with Robinhood for my US account and Kite (Zerodha-India) for my NSE/BSE activity. If you can architect the code in a modular way, future add-ons such as TD Ameritrade or E*TRADE should drop in with minimal refactoring. • Core engine – Python is preferred, but I am open to another performant language if you justify the latency gains. The engine must ingest live market feeds, run the AI model, fire orders, and monitor positions automatically. &...