AI-Powered Fintech Investment Intelligence Platform
Project Overview
Combines fundamentals, sentiment, and technical signals into a unified dashboard that offers recommendations and alerts.
Tech Stack
Team
Mentors
- Shreya Nyamati
- Lalima Singh
- Abhimanyu Binu
- Vinay Kotwani
Mentees
- Pranav Shaji
- Achutha P
Problem Statement
Investors need unified intelligence combining fundamentals, technicals and sentiment in one workflow.
Objectives
- - Deliver AI-based investment recommendations
- - Unify financial and behavioral signals
- - Provide risk profiling and forecasting
- - Present insights through interactive dashboards
Methodology
The project follows a structured implementation approach that includes Collect and preprocess market datasets, Build forecasting and risk models, Use NLP for sentiment signals, and Visualize alerts and portfolio analytics. These steps are executed iteratively to validate assumptions, improve performance, and ensure reliable delivery of the final solution.
Expected Outcome
By the end of this project, the team is expected to deliver Functional investment intelligence platform, Improved trend and risk insight delivery, and Personalized recommendation capability. Together, these outcomes reflect both technical feasibility and practical value for demos, evaluation, and future scaling.
Future Scope
- - Alternative assets and crypto support
- - Real-time volatility/sentiment alerts
- - Automated rebalancing