The problem Dente solves

Going to the dentist and keeping our dental hygiene in check is difficult in a pandemic. Not many people realize the shortcomings of not maintaining their dental health, and this causes some major issues in our bodies.
Some generally faced problems that could be solved using our application are

• people consuming alcohol and tobacco generally face issues related to gum loss that may eventually lead to sensitivity and other long-term problems.
• A common problem of weight loss that occurs in women during pregnancy due to ginger whitness can also be recognized and utilized to solve the common problem.
• Not many of us visit a dentist for more than a year and those small probs turn into longer ones with time.

Dente is a one-stop solution to all these problems, Lets have a sneak-peek into how it solves all of these:
Patient Side Portal

• Let's you book an appointment with the nearest dentist with the "Request an appointment form"
• Calculate your dental hygiene and report issues for irregular teeth, missing tooth, teeth color rating, find out a regular smoker (book an automatic appointment if the dental hygiene is below specific criteria)
• Have a live one on one video consultation with the doctor (implemented using WebRTC)
  Doctor Side Portal
• Enable the doctor to see all his upcoming appointments at a single place linked to the central database
• Have a live one on one video consultation with the patient (implemented using WebRTC)
• Keep a record of patients data like ongoing treatment and medications accessible anywhere, anytime
• Track all his/her past appointments and have a check over them with time.

In the era of TeleMedicine, this could prove to be another big asset to the industry for all the dentists.

Challenges we ran into

Our road was easy till building everything separately as soon as we started integrating our ML APIs to the frontend was where we rn into challenge number one and then while enabling something to let our doctor and the patient connect over a video call we faced difficulties in finding a solution for the same but ended up figuring out a tool that led us to make a complete solution to our problem statement.
Finding datasets to accurately train and identify the defects in the user's teeth proved to be a challenging task.