Muhammad Mehran Bin Azam

FYP

• AI-Powered Combat System to Detect, Predict and Prevent Coronavirus (COVID-19) Pandemic at University of Education, Lahore
• Our Developed AI-Power Combat system will give the expert advice about the level of spread, and in accordance to that, the government and the citizens can make proper plans to handle the situation by taking necessary measures to minimize the virus spread.
• Proposed Combat System will be based on the symptoms (fever, state/Province, running nose, body pain), it will predict the probability that Patient is affected with COVID-19 Positive or Negative.
• Proposed Combat System will also incorporate Chest X-rays and CT scans images to predict whether the patient is affected with COVID-19 or not this combat system will helpful for the medical staff to make decisions with high precision and saves lot of diagnosing time.
• Proposed Combat System will provide Intelligent Chatbot which provides health queries specific to COVID-19 pandemic, consequently It will save the time of medical professionals spending on answering questions.
• The Proposed AI-Powered Combat System will provide facemask detection and social distance measuring feature for safety purposes due to the outbreak of COVID-19. In the present scenario of COVID-19, there is no efficient face mask and social distancing detection applications which are now in high demand for transportation means, densely populated areas, residential districts, large-scale manufacturers and other enterprises to ensure safety.
• The Proposed AI-Powered Combat System will be integrated with embedded systems e.g., Airports, Offices, Schools, Education Sector, Railway Stations and Public Places to ensure the detection, prediction and prevention of COVID-19 pandemic on the basis of statistical (fever, state/Province, running nose, body pain), epidemiological (X-rays, CT scans images) and real-time surveillance data (surveillance cameras).

Internship

• Front End Web Developer
• Experience with HTML, CSS, Bootstrap, Javascript, Photoshop
• Develop Food Bank Web Application
• Developed Application help to reserve food and table in advance
• Help to Plan resource better and help to customers to gain Discount

Freelancer

• Front End Web Developer
• Using HTML, CSS, Bootstrap, Javascript, Photoshop

Research Work

• Hybrid Counter Model for Predicting the severity rating
based on the counties profiles by incorporating the COVID- 19
statistical, weather features along with the SOPs auxiliary information.
• Our Proposed Framework can predict the severity rating
based on the counties profiles which can help us to identify the most
suitable set of SOPs and also in resource allocation based on the severity of the pandemic.
• Impact: Prevents the resource under-allocation and over-allocation
• Accuracy: We have reduced the RMSE to 0.0455 using Word2Vec