Automated AI-driven investment system that fetches live market data, analyzes news sentiment, predicts price trends, and generates buy/sell signals with backtesting and paper-trading support.

An AI-powered financial system that dynamically adapts investment strategies based on market conditions, user behavior, and external data. It uses deep learning to predict trends, manage risk, and optimize returns.

A self-managing AI module that autonomously identifies undervalued dividend-paying stocks, executes purchases/sales based on dividend growth metrics, and reinvests proceeds to maximize compounding returns.

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Develop an AI-driven system that autonomously manages a portfolio focused on dividend growth stocks. It will analyze market trends, predict stock performance, and automatically reinvest dividends into optimized selections.

Develop an AI-driven system that automatically identifies high-growth dividend stocks, executes investments, and reinvests dividends to maximize returns without human intervention.

A domain-specific AI agent that analyses real-estate investments using LLM reasoning, scenario simulation, ROI modelling, interactive dashboards, and workflow automation. Built in Google Colab using Groq, Plotly, Pandas, and Retrieval-Augmented Generation.

Dissertation