Najmi Hassan@Najam-ul-Hassan
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6
Events attended
2
Submissions made
ML Engineer
Pakistan
1 year of experience
About me
Hi! This is Najmi Hassan. I am final-year software engineering student. I am a machine-learning enthusiast. My goal is to be proficient in ML and deep learning. In this fast-changing world, I would like to contribute my specialties to solving real-world problems using AI.
is under improvement
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🤓 Submissions
ANATOMY MENTOR
The Anatomy Mentor integrates the Gemini API, enriching its functionality with real-time access to anatomical data and resources. Leveraging Gemini's vast database, the Mentor enhances explanations with up-to-date information, ensuring accuracy and relevance. Additionally, it utilizes Gemini's image recognition capabilities to augment its image processing features, accurately identifying anatomical structures within uploaded images. This seamless integration enables students to delve deeper into anatomical studies, accessing a wealth of resources and insights at their fingertips. By harnessing the power of the Gemini API, the Anatomy Mentor provides a comprehensive and dynamic learning experience, setting a new standard in anatomy education.
CeneLit Recommendation
CineLit Recommender is a cutting-edge application designed to revolutionize the way users discover and explore new books and movies. By harnessing the power of state-of-the-art recommendation algorithms, CineLit Recommender provides personalized and accurate suggestions that cater to users' unique tastes and preferences. One of the standout features of CineLit Recommender is its intuitive search functionality. Unlike traditional search engines that require users to input specific keywords or titles, CineLit Recommender allows users to describe the book or movie they are looking for in their own words. This natural language processing capability enables users to interact with the app in a conversational manner, as if they were seeking recommendations from a knowledgeable friend. For example, users can describe a movie they are in the mood to watch by mentioning its genre, plot elements, or even the mood they want to experience. Similarly, users can describe a book they are interested in by mentioning its themes, writing style, or even the emotions they want to explore. Moreover, CineLit Recommender's user-friendly interface makes it easy for users to navigate and discover new content. The app's sleek design and intuitive layout ensure that users can find what they are looking for without feeling overwhelmed. Additionally, CineLit Recommender's extensive database of books and movies ensures that users have access to a wide range of options, from classic literature to the latest blockbusters.
