Ankita Gupta

HOMZY is a dynamic real estate platform launched in April 2024, offering an intuitive property search experience. Visitors can effortlessly filter searches by type, location, price range, and custom criteria such as amenities or property features. The platform ensures secure and efficient CRUD operations with a remarkable 98% success rate, maintaining user data integrity. Account deletion is facilitated securely through JWT cookie validation to verify user authenticity, safeguarding user privacy. HOMZY prioritizes performance, achieving a 90% improvement in page load times compared to industry benchmarks, ensuring a fast and seamless user experience. The project exemplifies cutting-edge web development practices and user-centric design.

"TranslateCare" is an ML-based model that utilizes sign language recognition to facilitate communication between hearing-impaired individuals and non-signing individuals. The project involved designing and training a deep learning model using convolutional neural networks (CNNs) to recognize hand gestures and convert them into subtitles on a screen in real-time. As a team member, I was responsible for research and developed the user interface and user experience of the model The project's success has the potential to improve accessibility for hearing-impaired individuals and enhance communication between them and the hearing community."

I spearheaded the creation of a book recommendation system using cutting-edge machine learning methodologies. By harnessing Python and its libraries, I designed an algorithm that analyzed user preferences and behavior to generate personalized book recommendations. Through meticulous implementation of machine learning techniques, I significantly enhanced user engagement by providing tailored suggestions, thereby fostering a more immersive and satisfying reading experience. This project not only showcased my expertise in machine learning but also demonstrated my ability to leverage technology in crafting impactful and user-centric solutions within the realm of literature and user interaction.

I crafted a sleek and adaptable portfolio website utilizing HTML, CSS, and JavaScript, focusing on clean design and seamless responsiveness. This platform served as an interactive showcase of my skills and professional journey, offering visitors an engaging and intuitive experience. Through meticulous design and implementation, I ensured that the website not only highlighted my expertise but also provided an immersive glimpse into my capabilities and accomplishments. This project demonstrated my proficiency in web development and design, effectively presenting my skill set and experiences to potential collaborators or employers in an aesthetically pleasing and user-friendly manner.

The primary goal of an email spam detection system is to automatically identify and filter out unwanted or malicious emails (spam) from reaching a user's inbox. The system aims to enhance user experience, protect users from phishing attacks, and ensure the security and reliability of email communication. An effective email spam detection system helps users avoid unwanted content, protects against phishing attacks, and ensures a secure and efficient email communication environment.

The primary goal of this machine learning model is to predict the likelihood of an individual having diabetes based on various health-related features. This type of model is valuable for early diagnosis and intervention, helping healthcare professionals provide timely care to individuals at risk of diabetes.