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Home Screen
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Home Screen
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Start Interaction
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Interaction 1
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Interaction 2
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Initial opening
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Onboarding
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Interaction 3
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Interaction 4
Inspiration
The benefits of creating a finance chatbot are immense. It promotes responsible investing and financial literacy, and leads to improved financial well-being and a more informed society. This innovation has the potential to change how individuals approach their finances, ensuring they make informed decisions aligned with their goals and values.
What it does
Our app is focuses on budgeting, saving, and investing. It has a chatbot for financial guidance and an artificial intelligence-driven robo-advisor for personalized investment recommendations. Users can make informed financial decisions.
How we built it
The app was built using Python and has a chatbot. The robo-advisor was powered by machine learning. The backend database used is MySQL.
Challenges we ran into
We encountered challenges in the design of the app. Machine learning requires fine-tuning for risk assessments. Ensuring seamless communication between the chatbot ,Robo-advisor, and MySQL database presented some technical intricacies.
Accomplishments that we're proud of
We're proud to have built a platform with a chatbot and robo-advisor. Our accomplishment lies in making finance easy to understand and helping users make smart investment choices.
What we learned
Developing this platform gave vital Insight into the effectiveness of machine learning in financial guidance. It was our priority to tailoring the platform to user's needs and to overcome technical hurdles. This experience shows the potential of technology to democratizes access to informed financial decisions.
What's next for FinLit
The next implies the benefit that users get from this platform. In this context, it goes to the educational, ease of Use, effectiveness in offering guidance, and positive impact on financial make-up. The 'next' indicates the positive outcome of useful platform activities, it's worth noting how much users gain from using it.
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