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Inspiration
Alchemy is the philosophical tradition of transforming matter. It embodies the human desire to unlock hidden potential and create value from the seemingly ordinary.
Inspired by this tradition, we developed Alchemy, an AI-powered Business Operations Assistant that helps startups stay organized, make smarter decisions, and scale efficiently. By integrating project management, finance, and communication tools into a single intelligent platform, it automates routine tasks, extracts actionable insights from data, and generates professional business reports to guide decision-making.
What it does
Alchemy automates routine tasks, extracts actionable insights from data, and generates professional business reports to guide decision-making. Turning raw data into valuable reports.
How we built it
We built it on VS Code, using Python for the front, HTML back end, and CSS for styling.
Challenges we ran into
Making the Chatbot was relatively simple, but we ran into a huge challenge when trying to integrate the chatbot on our webpage as an assistant. This was because we had to feed it the data from the file uploads so that it could provide advice based on the company's data. Claude was a huge help in this, helping us realize that our mistakes were in how we fired responses from the Python backend. It helped us to make the page able to feed the data into the business report while simultaneously organizing it into an easy-to-read information prompt for the chatbot. Unfortunately, we were not able to integrate the social media analytics; however, this did not affect the quality of our proof of concept since we were already using data from 3 .csv files. Another challenge we faced was that we did not have access to the Claude API, which greatly hindered us from effectively integrating AI into our programming. We worked around this obstacle by using a chatbot.
Accomplishments that we're proud of
Getting the Chatbot to work :) Mainly due to how difficult it was to even understand the errors we kept getting. In addition, the document creation itself was something neither of us had ever done before, so we were quite proud of that. One of our team members was also a first-time coder with very minimal experience, and learned how to work with two new languages for the first time. It was really rewarding to see the website/pages come together in such a short amount of time and be able to pick up many new skills.
What we learned
We learned how to effectively utilize Claude AI in order to solve coding problems when making our webpage and connecting it to our Python backend. Specifically, we had to learn a lot about data and ways to gather it with programming solutions. We also had to consider what metrics could be useful in diagnosing a company's health and how to calculate them.
What's next for Alchemy
Alchemy could expand its AI capabilities to provide predictive insights, trend forecasting, and personalized recommendations. It might integrate with additional business tools, offer customizable dashboards, and enhance collaboration features to streamline operations further. These possibilities could help teams of all sizes scale more efficiently and make more informed, data-driven decisions.
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