GeorgianAI

Inspiration

We were inspired by the challenge of identifying future visionary leaders in tech using AI. We wanted to use the openAI's API and other sources to create various models that can analyze the attributes and impact of potential tech leaders.

What it does

We built several different models for interpreting which aspiring entrepreneur/visionnaire is most likely to lead a successful startup. They take in a name of a person who is involved in the tech ecosystem and outputs a score and further details on 33 features in total, including their . The scores are based on various factors such as personality traits, experience, emotional and social skills, and leadership skills. The README.md contains the detailed report of our general approach.

How we built it

We built GeorgianAI using various Python programs and the openAI API.

Challenges we ran into

Some of the challenges we faced were:

• Finding reliable and relevant data sources for each person
• Dealing with noisy and incomplete data
• Balancing the trade-off between creativity and accuracy
• Ensuring the scalability and feasibility of our solution

Accomplishments that we're proud of

Some of the accomplishments we are proud of are:

• Creating a novel and innovative solution for the challenge
• Utilizing the GenAI repository effectively
• Generating insightful and comprehensive reports for each person
• Demonstrating our solution with a captivating demo

What we learned

Some of the things we learned are:

• How to use the openAI repository and its models and datasets
• How to scrape and process data from various sources
• How to apply NLP and computer vision techniques to analyze data
• How to present our solution effectively

What's next for GeorgianAI

Some of the next steps for GeorgianAI are:

• Improving the accuracy and robustness of our model
• Adding more data sources and features to our model
• Testing our model on more people and scenarios
• Deploying our model as a web app or a chatbot

Built With

• openai
• python