Identify, Sort & Count Different Denominations of Pills based on Image Recognition
Business Problem: Manual counting and sorting of pills is time-consuming, inaccurate and outdated.
Concept : An Artificial Intelligence model developed using the TensorFlow framework to apply deep learning for image classification training and application on the AWS Platform.
Proposed Solution: A Machine Learning based application, which takes input of user-uploaded images of pills to be counted and the system counts the number of pills in the image and outputs results.
Advantages: Besides the speed and accuracy, the model also offers easy updates on pill types and varieties and a powerful upgrade to pill inventory technology.
Technical Approach: The key stages of Machine Learning are training/learning and prediction/classifying. We applied the following approach:
Challenge: To develop & deploy a Deep learning model based on Image Recognition on the AWS Cloud using the TensorFlow framework while factoring in Memory, CPU, scale, and latency considerations
Data Science Toolkit : An Artificial Intelligence model developed using the TensorFlow framework to apply deep learning for image classification training and application on the AWS Platform.
Perform Sentiment Analysis of Customer Drug Feedback
Opinion mining (or sentiment analysis) applied through natural language processing, text mining, and speech recognition in context of online customer review mining on various pharmaceutical products.
Evaluation performed based on the frequency of a particular medicine usage, customer personal satisfaction, influential marketing products strategy, online pharmaceutical suggestions and prescriptions, and the impact of specific medicines on health, etc.
The software will focus on sentiment analysis of multiple customer reviews on different medicines from different backgrounds, locations and ages to evaluate the quality and satisfaction with that product.
The customer will be provided a rating scale with stars ranging from one to ten. The sentiment approach will help pharmaceutical enterprises improve and maintain the quality of product services based on the review of customer.
The software will use lexicon-based approach for sentiment classification according to positive, negative or neutral type of polarity to a limited extent.
The accuracy and reliability of results could be a challenge when parsing complex sentences and words due to insufficient and undistinguishable data, but our model will factor that resistance into the prognostication.
A Cloud-based Real-time Data Collection & Analysis Tool
Sensor devices transfer data to Qualcomm 2Net app. App transfers data to Qualcomm cloud.
Qualcomm cloud sends data to Voyager.
Raw data is stored in S3 buckets.
Processed data then stored in the AWS RDS Oracle 12C database.
Analytical platform uses Spotfire tool in pilot study.
Potential analytical toolkit under consideration for production.
Processed data transferred to client network in periodical intervals or on demand.
A Collaborative Platform to Record, Analyze & Manage Risks & Issues in Clinical Trials
Clinical Resource Allocation Monitoring: Overview of Past, Present & Future CRA Workload