Precision Facial Analytics: Unlocking Insights through AI-Powered Vision

Challenges.

The key business challenges encountered are below:

• High Patient Volume: Huge influx of patients, lead to long wait times and delays in diagnoses and treatment. 
• Assessments: Assessing skin conditions heavily relied on the subjective expertise of dermatologists, which lead to inconsistencies and few misdiagnoses. 
• Time-Consuming Processes: Manually examining patient skin, analyzing medical histories, and cross-referencing with medical literature is time-consuming.

Solution.

To address these challenges, we have developed a cutting-edge Computer Vision solution that leverages advanced algorithms and machine learning techniques to accurately predict skin diseases, age, and gender based on patient photographs.
The solution uses Deep Learning Solutions like inception v4 along with Computer Vision techniques to predict Acne, Melonoma, Psoriasis and others from a live camera feed or through photo uploads. The solution requires microscopic images to detect diseases. 

For predicting Age and Gender, the person can either upload the image or open webcam and provide the photo at the real time. The Technology stack included Python, Tensorflow, Keras, OpenCV, Mongo DB and Django.

 

The Impact.

• With our cutting-edge computer vision solution, our clients can leverage the power of technology to streamline operations, enhance patient care, and stay ahead in the industry. 
  This innovative solution offered following benefits: 
  Streamlined Diagnosis: By automating the initial assessment process, our solution can significantly reduce the time required for diagnosis, enabling dermatologists to focus their expertise on more complex cases and treatment planning.
• Objective Analysis: Our computer vision algorithms provide objective and consistent analyses, minimizing the risk of subjective biases and ensuring accurate and reliable diagnoses.
• Improved Efficiency: By automating routine tasks, our solution enhances the overall efficiency