AI Gate - 78 | Devpost

Inspiration

AI Gate was created to modernize gate access and visitor management, addressing inefficiencies in traditional security systems. Many residential communities, businesses, and short-term rentals rely on outdated methods such as manual logbooks, intercom-based verification, or simple keypad codes. These methods can lead to security risks, slow entry processes, and a lack of detailed visitor tracking. AI Gate aims to improve security, streamline guest access, and provide AI-powered insights for incident analysis.

What it does

AI Gate allows residents and property managers to create visitor passes that are time-limited or restricted by the number of uses. Guests receive a unique PIN and a QR code, which can be scanned at the gate or entered via a keypad for access. Additionally, security personnel can enter a specific time window of an incident, and the system will retrieve all visitors present during that period. AI Gate then generates a report using AI to analyze visitor patterns and identify potential security concerns.

How we built it

AI Gate's backend is built using Node.js with Express.js, and MongoDB for storing user and access data. Authentication is handled using JWT for secure API communication. The frontend, developed with Next.js, dynamically generates QR codes for guest access. OpenAI's GPT-4 API is integrated to analyze visitor logs and generate AI-powered incident reports.

Challenges we ran into

One challenge was optimizing AI-generated reports to provide meaningful security insights rather than generic summaries. We refined the system to highlight patterns such as recurring visitors and unusual access times. Another challenge was minimizing latency at entry points, ensuring that QR code and PIN verification return responses in under a second. Additionally, implementing role-based access control required structuring the API to handle different levels of permissions for residents, administrators, and security guards.