digifoot.ai | Devpost

Chat Interface
Key Features
Homepage

•⁠ ⁠Inspiration The inspiration for digifoot.ai stemmed from the growing concern about digital footprints and online presence in today's world. With the increasing use of social media, individuals often overlook the implications of their online activities. We aimed to create a tool that not only helps users understand their digital presence but also provides insights into how they can improve it.

•⁠ ⁠What it does digifoot.ai is a comprehensive platform that analyzes users' social media accounts, specifically Instagram and Facebook. It aggregates data such as posts, followers, and bios, and utilizes AI to provide insights on their digital footprint. The platform evaluates images and content from users’ social media profiles to ensure there’s nothing harmful or inappropriate, helping users maintain a positive online presence.

•⁠ ⁠How we built it We built digifoot.ai using Next.js and React for the frontend and Node.js for the backend. The application integrates with the Instagram and Facebook Graph APIs to fetch user data securely. We utilized OpenAI's API for generating insights based on the collected social media data.

•⁠ ⁠Challenges we ran into API Authentication and Rate Limits: Managing API authentication for both Instagram and OpenAI was complex. We had to ensure secure access to user data while adhering to rate limits imposed by these APIs. This required us to optimize our data-fetching strategies to avoid hitting these limits. Integrating Image and Text Analysis: We aimed to analyze both images and captions from Instagram posts using the OpenAI API's capabilities. However, integrating image analysis required us to understand how to format requests correctly, especially since the OpenAI API processes images differently than text. The challenge was in effectively combining image inputs with textual data in a way that allowed the AI to provide meaningful insights based on both types of content.

•⁠ ⁠Accomplishments that we're proud of We are proud of successfully creating a user-friendly interface that allows users to connect their social media accounts seamlessly. The integration of AI-driven analysis provides valuable feedback on their digital presence. Moreover, we developed a robust backend that handles data securely while complying with privacy regulations.

•⁠ ⁠What we learned Throughout this project, we learned valuable lessons about API integrations and the importance of user privacy and data security. We gained insights into how AI can enhance user experience by providing personalized feedback based on real-time data analysis. Additionally, we improved our skills in full-stack development and project management.

•⁠ ⁠What's next for digifoot.ai Looking ahead, we plan to enhance digifoot.ai by incorporating more social media platforms for broader analysis capabilities. We aim to refine our AI algorithms to provide even more personalized insights. Additionally, we are exploring partnerships with educational institutions to promote digital literacy and responsible online behavior among students.