I’d like to turn my raw spending data into a smart, conversational companion that keeps an eye on every transaction and guides my decisions in real time. The core of the project is an AI engine—built with machine-learning or deep-learning techniques—capable of: • Automatic expense tracking fed from daily statements of upi/banks • Budget recommendations that adjust dynamically as patterns shift • also an assistant that collects news data from APIs and provide information and insights in form of numbers, graphs and recommendations for India based stocks • Investment advice surfaced from spending surplus, risk profile, and market data • A pattern recogniser that flags recurring habits I might miss • An emotion-based classifier that tags purchases as “stress”, “reward”, “routine”, etc., so I can see how moods drive money choices All analytics need to update continuously, with clear visual summaries and a chat-style interface (web or mobile—your suggestion welcomed). Model transparency matters: please expose the main feature weights or SHAP values so I understand why each alert or suggestion appears. Deliverables 1. End-to-end codebase (Python preferred) with reproducible environment files 2. Trained models and a pipeline script for retraining on new data 3. Simple UI prototype demonstrating the features above 4. Brief technical doc explaining data flow, algorithms, and how to extend the tool If an off-the-shelf NLP or finance API speeds things up, feel free to integrate it—as long as the final solution remains self-hostable. Looking forward to seeing how you’d architect, train, and package this assistant. I would want you to give dockerised container of complete project with data, model and frontend backend in python.