Bringing ease to Blind Individuals interaction with objects in their day to day lifestyle by creating an application powered by Machine Learning and Neural Networks

TensorFlow and Keras Libraries was utilized to develop the application applying Transfer Learning with Mobile Nets to create the Model. The generated TF Lite Model was used on the Android Device. The Android Application will use to recognize images.

• Pretrained and Optimized Customizable Image Classification Model using Images captured from the user's homespace to Identify The Objects in the House.
• Mobile Nets V2 – State of the art mobile architecture processing images on Mobile & IOT Devices in Realtime using Low Memory Footprint
• Uses Depth wise Separable Convolutional Neural Networks, Linear Bottlenecks between the layers & shortcut connectors between the bottlenecks (Residual Connections). .

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Engineering Desk (Pvt) Limited was formed in 2018 as a KPO (Knowledge Process Outsourcing) and BPO (Business Process Outsourcing) solutions provider by experienced and skilled group of Engineers and system specialists who have hands-on experienced in Electrical Power & energy (Power Plants, Substation, Transmission Lines), Process Systems, Mechanical Electrical Plumbing (MEP works) in Building Management Services, and Industrial Electrification.

• Google Assistant
• Dialogflow
• Webhooks
• Firebase
• NodeJS

Engineering Desk (Pvt) Limited was formed in 2018 as a KPO (Knowledge Process Outsourcing) and BPO (Business Process Outsourcing) solutions provider by experienced and skilled group of Engineers and system specialists who have hands-on experienced in Electrical Power & energy (Power Plants, Substation, Transmission Lines), Process Systems, Mechanical Electrical Plumbing (MEP works) in Building Management Services, and Industrial Electrification.

A Simple application which can calculate the Body Mass Index of a person. The application is developed to provide the user a Healthy lifestyle by helping to keep track of their health progress according the Body Mass Index. Thus, users can manage their day to day consumption in a healthy manner. The application comprises of features such as

• Calculating the BMI.
• Storing calculated BMI values as logs for the user to identify his/her progress.
• The application also delivers information regarding health risks per BMI Value.
• Users can also Discover nearby fitness related facilities.