Project 1
Property Management System
Period: September 2017 - March 2018
Management of properties by users in which they can clearly track the property value, sales. in which we have used HTML, CSS, PHP and Java script.
Project 2
Smart Parking System
Period: May 2018 - January 2019
Implemented a sophisticated solution to alleviate traffic congestion in densely populated areas caused by unauthorized parking. Utilizing cutting-edge technology, our system employs ultrasonic sensors and Arduino microcontrollers. Upon detection of unauthorized parking, a notification is seamlessly dispatched to users through a dedicated Android app, effectively discouraging improper parking practices.
Additionally, our system aids users in finding suitable parking spots nearby, promoting responsible and efficient parking behavior. This innovative approach not only addresses traffic congestion but also fosters a culture of responsible parking, enhancing overall traffic management in crowded urban environments.
Project 3
Canteen Management System
Period: September 2019 - April 2020
Implemented a streamlined solution to efficiently manage peak-hour overcrowding at the campus canteen, eliminating the need for physical tokens and optimizing the food ordering process. The integrated mobile app features a daily food menu, enhancing user experience and expediting the ordering procedure.
Leveraging a sophisticated recommendation system, the app enables students to make informed choices by highlighting the most ordered or highly rated items for the day. This not only reduces wait times but also enhances overall canteen operations by promoting a more organized and user-friendly approach to food ordering during peak hours.
Project 4
IMDb Data Analysis and Visualization using Tableau Period: December 2023 - December 2023
The results of an exploratory analysis of an extensive movie dataset are presented in this article. The goal of the analysis is to find patterns, linkages, and trends in the movie data, with a particular emphasis on user involvement, IMDb ratings, production company impact, and popular genres. During my Master's program, I conducted a comprehensive analysis of The Internet Movie Database (IMDb) utilizing Tableau for visualization. This project involved meticulous data preparation, advanced statistical analysis, and the creation of interactive dashboards. Key achievements include web scraping IMDb data, performing exploratory data analysis, predicting movie ratings through machine learning, and presenting insights through compelling Tableau visualizations. The project not only showcased technical proficiency in Python, statistical analysis, and machine learning but also demonstrated creative problem-solving and a passion for data-driven decision-making in the entertainment industry.
Project 5
MySQL Database Implementation and Management
Period: November 2023 - December 2023
A core achievement of this project was the development of a meticulously designed and normalized database schema. This process involved careful consideration of data relationships, ensuring efficiency and coherence within the system. The implementation phase was marked by the adept use of SQL queries, tailored for seamless data manipulation and retrieval. These queries not only showcased my command over the SQL language but also demonstrated an understanding of the project's specific requirements. A critical aspect of my contribution was ensuring optimal database performance. Through fine-tuning and optimization strategies, I enhanced the system's efficiency and responsiveness. This hands-on experience not only solidified my technical proficiency in MySQL but also provided tangible evidence of my ability to design and manage databases in alignment with precise business needs.
