Samarth Shendre@samarth_shendre314

FutureTwin AI functions as an AI-based decision simulation platform which enables users to investigate different potential results of their critical life decisions before making those decisions. People make significant life choices about career changes and educational pursuits and business ventures and residential moves while facing challenges related to uncertainty which occurs when they have incomplete information. FutureTwin solves this problem by deploying multiple AI agents which work together to examine user objectives and personal information and external data sources such as employment market intelligence and economic metrics and skill necessity information. The system creates various potential future outcomes which it assesses for dangers while showing future results through timeline displays and outcome comparisons. The system enables users to assess multiple trade-offs which include income growth and financial risk and lifestyle changes and future career prospects. FutureTwin uses simulation and forecasting together with explainable AI to change decision-making processes from guessing to producing scientific knowledge about decision-making. The system provides users with a comprehensive understanding of future possibilities which enables them to select their optimal path toward reaching their personal objectives.

API Wallet Agent is a trust-minimized payment layer for AI agents and web services that need to pay other APIs, data sources, or compute providers in real time. Instead of monthly subscriptions and static API keys, it enables per-request micropayments using USDC on Arc. Providers publish x402-style pricing metadata (e.g., cost per image or per query), and the consumer sends a natural-language task like “Generate 3 images under $0.05.” The backend uses Gemini function-calling to parse intent, select the best provider/tier, calculate total cost, enforce budgets, and trigger an onchain USDC payment. Each payment produces a verifiable receipt (tx hash + invoiceId), then the provider API executes the request. This demonstrates machine-to-machine commerce with transparent, auditable payments.

The ESG Carbon Intelligence Agent is an advanced AI-driven sustainability assistant designed to help organizations measure, monitor, and optimize their environmental impact. Built using IBM watsonx Orchestrate, the agent automates carbon accounting workflows by processing daily or weekly emission logs, applying emission formulas, validating units, and classifying activities into Scope 1, Scope 2, and Scope 3 according to global GHG Protocol and ISO 14064 standards. The agent leverages multi-step reasoning to identify high-emission activities, detect anomalous spikes, compare materials or processes, and provide practical strategies to reduce carbon footprint. It integrates with tools such as Cloudant, API services, and file-based knowledge sources to store data, fetch emission factors, and deliver accurate insights. Users can interact with the agent through a web-embedded chat interface to upload datasets, request ESG summaries, generate detailed emission reports, or perform scenario-based analysis for sustainability planning. The system ultimately helps enterprises streamline ESG reporting, reduce environmental risk, and make informed decisions to support net-zero goals.

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