I am Dawood Sarfraz, a Computer Science graduate from FAST National University of Computer and Emerging Sciences, with a strong passion for Artificial Intelligence.
My interests lie in Machine Learning, Deep Learning, Natural Language Processing, Data Science, Digital Image Processing, and Computer Vision. I am driven by a desire to solve real-world problems through innovative AI solutions and continuously explore how these technologies can transform industries and improve lives.
I also provide professional services in AI, ML, DL, NLP, and Computer Vision. If you're looking for solutions tailored to your problem, feel free to check out my services section and get in touch to hire me for your project.
I value collaboration and believe that diverse ideas fuel innovation. I am always open to connecting with like-minded individuals to work on impactful projects in these evolving fields.
We design AI-powered solutions that enable businesses to leverage advanced technologies for smarter decision-making and improved efficiency. As independent developers, we focus on solving real-world challenges and enhancing operational performance through intelligent systems.
We specialize in extracting machine-readable insights from unstructured text, images, videos, and CCTV cameras, enabling organizations to adopt data-driven approaches for efficient content management. This process allows businesses to uncover valuable insights from diverse media sources, which can be leveraged to drive informed decisions and enhance overall operational effectiveness.
Our expertise in Natural Language Processing (NLP) empowers your business with next-level digital assistance that is contextually aware and able to understand the nuances of human language. By processing and interpreting raw audio and text data, we help transform complex information into actionable insights, enabling your business to make smarter, more informed decisions and drive the success of your NLP projects.
We are committed to leveraging the power of cutting-edge technologies to transform how businesses engage with language. As a leading AI services provider, we specialize in delivering innovative solutions that harness the full potential of Large Language Models (LLMs). Our expertise allows us to create advanced tools and services that drive business growth, improve communication, and elevate decision-making through the capabilities of LLMs.
Discover practical and impactful computer vision applications that you can design, deploy, and operate in real-world scenarios, enabling transformative solutions for various industries.
Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.
Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.
A computer vision application designed to interpret analog dials, including gauges, digital displays, and warning light colors, by utilizing camera technology for accurate real-time analysis.
Construction and manufacturing companies leverage computer vision to enable predictive maintenance on heavy machinery, ensuring high accuracy in detecting potential issues before they lead to costly downtime.
Computer vision systems deployed on worksites can significantly enhance safety by continuously monitoring behavior in and around restricted areas and hazardous zones, providing real-time alerts to prevent accidents and ensure a secure environment.
Discover how computer vision systems can be leveraged in the real world to automate the traditionally manual and time-consuming process of defect detection, increasing efficiency and accuracy while reducing human error.
Product detection utilizes deep learning technologies to automatically identify and classify various product types with high accuracy, streamlining inventory management and quality control processes.
Computer vision systems deployed on worksites can significantly enhance safety by continuously monitoring activities around restricted areas and hazardous zones in real time, ensuring compliance with safety protocols and preventing accidents.
We use cameras combined with deep learning techniques to enable automated and accurate object counting, streamlining inventory and monitoring processes.
AI-based ergonomic risk analysis leverages cameras to detect and analyze employee posture, helping identify potential risks and improve workplace safety.
Automated Number Plate Recognition (ANPR) systems use computer vision to identify and track vehicles in real-time by detecting and reading license plates.
Eye tracking and gaze detection technologies are used to monitor attentiveness, focus, and stress levels by analyzing visual attention patterns in real time.
Automatically detect and identify suspicious or potentially dangerous objects placed in public areas to enhance security and public safety.
Automated safety and compliance monitoring helps minimize workplace accidents and ensure operational efficiency by detecting violations in real-time.
Perform facial analysis to detect key attributes such as gender, age, emotions, and other demographic or behavioral traits.
Automatically detect weapons in real-time video streams to enable rapid threat identification and response.
Monitor vehicle dwell time at scheduled stops to identify inefficiencies and enhance operational performance.
Automatically detect unexpected vehicle stops, identify anomalies in movement, and recognize dangerous situations in real-time to enhance safety and operational efficiency.
Automated vision-based fall detection system using computer vision to accurately recognize human falls in real-time, ensuring timely responses for safety and emergency interventions.
Automated system to detect specific human poses, such as lying down, sitting, and standing, using computer vision to monitor and analyze human body movements in real-time for various applications like health monitoring and security.
Implement deep face recognition technology to accurately match human faces in real-time video streams against a database, enabling secure and efficient identity verification in various applications.
Leverage computer vision to monitor social distancing in real-time, identifying high-risk areas and non-compliance to ensure adherence to health guidelines and enhance safety in public spaces.
Utilize advanced computer vision algorithms to automatically detect unmasked individuals in public or indoor spaces, ensuring compliance with safety regulations and promoting a healthier environment.
Leverage crowd detection technology to analyze and visualize human movement trajectories in public spaces, generating heat maps that highlight areas of high activity, helping optimize space utilization and improve crowd management.
Automatically detect and track intrusion events within designated areas by pinpointing the target's position, date, and time, providing enhanced security and real-time alerts for unauthorized access.
A comprehensive solution that employs Computer Vision and Deep Learning to automatically detect vehicles and monitor parking lot occupancy, optimizing space utilization and improving operational efficiency.
Utilize computer vision to automatically detect and count various types of vehicles, enabling efficient traffic flow analysis and management.
Implement vision-based occupancy detection systems to monitor and analyze the usage of public spaces and buildings in real-time.
Track the duration a person spends observing a display or staying in a specific area for insightful customer behavior analysis.
Real-time area-based people counting using standard surveillance cameras for enhanced monitoring and data analysis.
Deep learning for vision-based animal monitoring to increase productivity in farming.
We extract machine-readable information from unstructured text to enable data-driven approaches towards managing content and gain valuable insights from them.
With our cutting-edge machine learning algorithms, we uncover hidden meanings in vast amounts of text, effortlessly detecting your customers' sentiments. This valuable insight helps to enhance your business performance.
We extract machine-readable information from unstructured text to enable data-driven approaches towards managing content and gain valuable insights from them.
Lahore, Punjab, Pakistan
