Hasnain Muavia@hasnain_muavia743

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Events attended

Submissions made

Pakistan

1 year of experience

About me

I am Hasnain Muavia, an associate data scientist with expertise in machine learning (ML), deep learning (DL), and backend development using Django. I have created numerous projects in deep learning and data science, specializing in Exploratory Data Analysis (EDA) and fine-tuning. Notable projects include a Dynamic portfolio, product comparison tool using Selenium and Django etc. I am passionate about learning and currently focus on Natural Language Processing (NLP), advanced deep learning, and Generative AI.

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🤝 Top Collabolators

Hasnain Muavia

Hajran Saleem

I am Hajran Saleem, an experienced web developer with a specialization in Django, a high-level Python web framework. I have a deep understanding of building robust, scalable, and secure web applications from the ground up. My expertise spans custom backend logic, API development, and seamless integration with frontend technologies like HTML, CSS, and JavaScript. I’m proficient in optimizing database interactions with SQL, implementing user authentication, and deploying applications across various platforms. With a solid foundation in web technologies, I create dynamic, responsive, and user-friendly web solutions.

Anum Saleem

Anum Saleem is an undergraduate researcher with strong expertise in data science, machine learning, AI engineering, backend, and front-end development. They have also worked on numerous projects using Django.

🤓 Submissions

VIsionAid

VisionAid is an AI-driven medical assistant designed to empower blind and visually impaired individuals by providing critical insights from medical data, all through voice-controlled, hands-free interactions. The app’s capabilities include interpreting complex medical images like X-rays, MRIs, and CT scans, translating visual data into clear, accessible language that users can understand. This feature enables users to receive essential health information without needing to rely on visual aids or third-party assistance. With VisionAid, users can also gain detailed insights from prescriptions. The app reads out medication names, dosages, and instructions, ensuring users have complete knowledge of their treatment plans. If a prescription includes any special precautions, side effects, or drug interactions, VisionAid can convey this information effectively, promoting safe medication use and informed healthcare decisions.The app is fully voice-activated, allowing users to ask questions and receive responses without ever needing to touch a screen. From asking, “What’s in my prescription?” to “What does my X-ray show?” VisionAid offers a seamless, conversational experience. Through sophisticated text-to-speech and speech recognition technology, it interprets queries and delivers responses in a clear, natural voice. In addition to image and prescription analysis, VisionAid can assist users in managing schedules by setting medication reminders, doctor’s appointments, and follow-ups, all accessible through simple voice commands. This functionality supports users in maintaining their health routines with minimal effort. Designed with the unique needs of visually impaired users in mind, VisionAid’s combination of advanced AI, intuitive voice control, and comprehensive healthcare insights represents a significant step toward accessible, independent healthcare management.

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