

To obtain a position that will enable me to use my strong organizational skills, award-winning educational background, and ability to work well with people. I always try to contribute my fullest skills for the growth of my organization and keep developing myself personally and professionally whenever it's required.
User-Friendly Features: The food delivery app, developed using Android Studio, offers an intuitive interface for easy browsing and ordering, real-time tracking of deliveries, and personalized recommendations based on user preferences. Robust Backend Integration: Leveraging Android Studio's capabilities, the app ensures secure payments, exclusive promotions, and 24/7 customer support, providing a reliable and efficient food ordering experience.
This project aims to predict vegetable prices by integrating extensive datasets using a data warehouse and applying advanced machine learning algorithms. By analyzing historical price data, weather conditions, and market trends, the system provides accurate price forecasts. These predictions help farmers, retailers, and consumers make informed decisions, enhancing market stability and efficiency.
This project involves creating a movie recommendation system website using HTML and CSS for the front-end and a machine learning algorithm based on collaborative filtering for the back-end. The website offers personalized movie suggestions by analyzing user preferences and viewing patterns. By leveraging collaborative filtering, the system identifies similarities between users and recommends movies that similar users have enjoyed. This approach enhances user experience by providing tailored recommendations, making movie discovery more engaging and efficient.
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