Inspiration
We were inspired by the need for a smarter way to invest that leverages the power of machine learning to analyze vast amounts of financial data and provide real-time insights into market trends and investment opportunities. Some inspiration was from personal experiences.
What it does
Our InvestIQ platform was intended to us machine learning algorithms to process huge amounts of financial data, providing customised investment portfolios tailored to our users' goals and risk tolerance. We offer real-time insights into market trends, stocks, economic indicators, and news events that can impact investments. Our system also has a AI bot that can do the investing part if integrated with trading platforms, simply by voice command and parameters such as stop loss, limit of trade etc.
How we built it
We built InvestIQ using ChatGPT, Google's speed recognition software and Gradio to deploy machine learning. We send speech to Google's Model and then send the text to ChatGPT API for the result.
Challenges we ran into
Our biggest challenge was deploying the machine learning model and integrating different services together.
Accomplishments that we're proud of
We're proud of out attempt to build this platform as a team of 2 people. We are also proud that we learned a lot of things via this project and hope to continue working on it in the future.
What we learned
We learned that machine learning is a powerful tool that can be used to provide valuable insights in the financial industry. We also learned that data privacy and security are critical concerns that must be addressed.
What's next for InvestIQ
We're continually improving our machine learning algorithms and integrating them together for a bigger platform.
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