Seeking experience in a challenging programming position that allows me to leverage my passion and self-taught skills to make a meaningful impact . Highly motivated and dedicated to pursuing programming both as a hobby (current status) and a career. I have acquired knowledge from university (doing a degree in Mathematics and Computer Studies 2023-present), books, courses on the Internet, YouTube videos and my friends. I should mention that I took several courses at ItSafe College as well as several courses at the University of Haifa as part of a computer science degree - which I stopped because my parents claimed that I would return to the degree at a more advanced stage in my life and I had taken enough courses for now (I was 16 years old). I have experience working in a team as well as working independently.
LinkedIn Profile GitHub Profile2023 – present
2021 - 2021
2017-2023
- 10 points Software Engineering (100 in AI and 99 in Computer Science).
- 5 points Mathematics, Physics, English.
- Received certificates of academic excellence every half year.
- Received certificates of Social Excellence.
2019
One of the representatives of Israel at a summer camp
I enjoy giving back to the community, and help others. I volunteered more than 180 hours in the Ministry of Education and help where I can after October 7th.
I love hiking, hanging out with my friends, playing the classic guitar, acoustic guitar, electric guitar and my electric piano. I like to play on my PlayStation and computer. I enjoy learning new things, particularly in AI and the broader field of programming. I also like to stay updated on the latest developments and what's happening in these areas. When something catches my eye and truly interests me, I strive to implement it and learn more about it.
An upgrade to "Pleasent_Ly 1.0" - A much better approach. Solved performence issues (from "Pleasent_Ly 1.0"). TODO: exe and stuff... works well. add link here to button
link to the submitted folderPleasent_Ly is an application I created during a period at school using some of the material we learned in the subjects machine learning and more. I invested a lot in many details in it, while creating a useful GUI that was easy to operate and manage at the operating system level of running files and managing them, and of course an excellent model. Leveraging cutting-edge machine learning and image processing technologies, this project presents an innovative Parental Control System designed to safeguard children's digital interactions. The system meticulously monitors screen content in real-time, employing a sophisticated TensorFlow-based model to analyze and detect inappropriate visual material. Utilizing PyAutoGUI for seamless interface interaction and win32 libraries for robust OS-level operations, it ensures a child-friendly digital environment by discreetly managing active windows and processes. The system also features comprehensive logging capabilities, recording incidents with precise timestamps and geographical data for accountability. Developed with an acute focus on creating a safer online experience, this project stands at the forefront of digital parental tools, combining proactive monitoring with reactive measures to foster a secure and nurturing space for young users.
link to the submitted folderThe application uses the camera connected to the computer and the YOLO model to identify buses, and with the help of the computer's speaker, it alerts you when your bus is approaching the nearest stop. The system was built with 99.9% accuracy to help in cases of location disruptions, thus saving you time waiting for the bus (may be late, early or on time - For me, cumulatively in a month, it saves over 3 hours, and it works perfectly). I should note that you have to place the camera with a good angle and define in what time range you want to get on the bus, so that it doesn't alert you all day but only when necessary - a simple "if" in the code. Example: want to get on the 11:49 bus, So I will set from 11:35 to 11:57 that it alerts)).
link to the submitted folderIn this project, I developed a machine learning model to predict the likelihood of stroke events. Utilizing Python, the model integrates K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) algorithms for robust analysis. To address an imbalanced dataset, I implemented strategic data sampling, ensuring equitable representation of outcomes. The project showcased data preprocessing, parameter optimization, and insightful analytics, significantly enhancing predictive accuracy. This model exemplifies the fusion of healthcare and AI technology, offering potential for early stroke detection and preventative care strategies.
link to the submitted NotebookMarketScope: Dynamic Stock Analyzer is an innovative software solution designed to provide real-time insights into stock market trends. This project harnesses the power of web scraping, data analysis, and intuitive visualization to offer a comprehensive overview of stock market dynamics. Note: to get access to the project and running it (get access to the .py file and personalize it for yourself), contact me.
DownloadThis project demonstrates the ease of creating a phishing website by replicating the login page of Netflix. Using basic web development skills, the site was set up to capture user login details and store them in a .json file, showcasing the potential risks of cybercrime. The experiment highlights the importance of cybersecurity awareness and the alarming simplicity with which personal data can be compromised.
To the repository To the Phishing website (the "Phishing function" is disabled of course)Phone Number: +972584980222
Email: ron.marom12@gmail.com