HonestAI is designed to bring transparency and credibility to users in an age of digital overload and confusion. Created for the Fall 2024 BMCC AI Innovation Challenge, this project utilizes AI/Machine Learning to help users analyze and verify web sources, promoting informed decisions in an era of digital information overload. Through machine learning and natural language processing, HonestAI provides users with tools to assess the credibility of content and to identify trustworthy information sources.
HonestAI has the potential to grow and serve broader audiences by scaling its technology and expanding its feature set. Click below to view the next steps for the project:
Daniel is the programming lead of the team, bringing a strong background in computer science. His expertise in software development and coding best practices enables him to effectively guide the technical direction of HonestAI. With a passion for problem-solving, Daniel excels in designing efficient algorithms and implementing innovative solutions.
Faiza is a dedicated Data Science major with a keen interest in transforming data into actionable insights. Her analytical skills and proficiency with research allows her to uncover trends and patterns that drive decision-making. Faiza is enthusiastic about leveraging data science to solve real-world problems and enhance user experiences.
As a computer science major with a fresh perspective and a strong desire to learn, Gia brings enthusiasm to the team. She has some experience coding front-end websites, and she looks forward to further developing her skills in software development and engineering.
Kay is a Digital Marketing major who specializes in crafting compelling narratives to engage audiences. She plays a crucial role in promoting the team’s projects and is passionate about integrating marketing with technology to effectively communicate innovative solutions to a wider audience.