The problem MedVault solves

The patient registration system using face recognition solves several problems related to the traditional patient registration process in healthcare facilities. The following are some of the issues that the system addresses:

Time-consuming process: The traditional registration process for patients can take a lot of time, especially during peak hours when there is a large influx of patients. The facial recognition technology can speed up the registration process by automatically capturing and verifying patient information, which saves valuable time.

Inaccurate data entry: Manual data entry can lead to inaccuracies, errors, and typos. The use of facial recognition technology for patient registration eliminates the need for manual data entry, which reduces the risk of human error and improves the accuracy of patient data.

Security concerns: In traditional registration processes, patient data is stored in paper forms, which can be easily lost, stolen, or tampered with. The facial recognition system ensures that patient data is securely captured and stored in an encrypted format, minimizing the risk of data breaches or identity theft.

Patient experience: Patients often experience frustration and long wait times during the registration process. The facial recognition system provides a seamless and user-friendly experience for patients, allowing them to quickly register and move on to their appointment without unnecessary delays.

Healthcare staff workload: The use of facial recognition technology for patient registration can reduce the workload of healthcare staff by automating the process of data capture and verification. This allows staff to focus on more critical tasks, such as patient care.

Overall, the patient registration system using facial recognition technology solves several problems related to the traditional registration process in healthcare facilities, including time-consuming processes, inaccurate data entry, security concerns, poor patient experience,

Challenges we ran into

The challenges we faced in the MedVault projects were :

1. Resolving the cors() errors while accessing the firebase image URL was the toughest challenge for us
2. Rendering webcam videos on the web interface
3. Integrating the success and unsuccess pages and resolving the errors in the process
4. We uploaded the patient's images on Firebase storage and extracted the URL to send it on MongoDB along with the patient's other details, which was indeed a challenge.