As an Artificial Intelligence enthusiast, I am passionate about researching and contributing to the advancement of technology in our country. Currently, in my third year of B.Tech graduation, I possess intermediate knowledge in programming languages such as Python, C, Java, and HTML. Although a beginner in Machine Learning, I am eager to learn and expand my skillset to make a positive impact in the field of AI.
I am currently pursuing my B.Tech degree in Computer Science and Engineering from the University College of Engineering Thodupuzha. I am in my third year of studies and have maintained a CGPA of 8.22. Throughout my academic journey, I have gained a solid foundation in computer science principles and technologies, including programming, algorithms, data structures, and more.
ACHIEVEMENTS
- Conducted and coordinated a CTF competition at College Level.
- Participated in a National Level CTF and achieved SECOND position.
EXPERIENCE
25 Dec 2022 - 31 Dec 2022
Web Scraping Using Python Internship
I successfully completed a one-week Python internship at ReverTech Company, gaining practical experience and enhancing my Python programming skills. This opportunity deepened my understanding of Python's versatility and its real-world applications, further fueling my passion for Python development.
2 May 2023 - 12 May 2023
Machine Learning Internship
During my machine learning internship at ReverTech, I gained hands-on experience in building and training models using popular frameworks and tools. This opportunity enhanced my understanding of machine learning algorithms and solidified my commitment to pursuing a career in this field.
Web Development
I possess an intermediate level of proficiency in HTML, CSS, JavaScript, and Bootstrap, and have experience developing websites using Python-Django. With a passion for web development, I am continuously honing my skills to deliver high-quality, responsive and dynamic web applications.
Machine Learning
As a beginner in Machine Learning, I have gained familiarity with a range of ML algorithms including Linear and Multi-Linear Regressions, Logistic Regression, Decision Trees, and SVM Classification. With a continued passion for exploring the field, I am committed to furthering my skills.
Programmer
I have an intermediate proficiency in programming languages such as Python, C, and Java. My experience includes applying these languages to develop software programs and web applications. I am committed to continually enhancing my programming skills to significantly contribute to the Tech industry.
Ramanand
Med-B
I am proud to showcase my ongoing project, Med-B. Med-B is a personal health assistant web app designed to enhance healthcare management. It incorporates various features, including an AI chatbot for interactive assistance, a secure database (MedRecords) for storing medical records, medication reminders for timely treatment adherence, and disease prediction based on user-entered symptoms. Although the project is still a work in progress, I am actively collaborating with my team to refine and further develop its capabilities.
Disease Prediction
I have developed a disease prediction model utilizing the Logistic Regression algorithm. This model analyzes the symptoms provided by the user and predicts the potential diseases they may have. By leveraging machine learning techniques, we aim to provide users with early insights into their health conditions and facilitate prompt medical attention.
Titanic Tragedy Prediction
Using machine learning techniques, I have developed a model that predicts whether a passenger would have survived or not during the Titanic tragedy. By considering various factors such as age, gender, passenger class, and other relevant details, the model provides valuable insights into the likelihood of survival. This project showcases my ability to apply data analysis and predictive modeling to historical events, highlighting the potential of machine learning in understanding complex scenarios and making informed predictions.
Car Price Prediction
In my project on Car Price Prediction, I have utilized the Linear Regression algorithm to predict the price of a car based on its model name, age, and mileage. By training the model on a dataset containing historical car data, I have developed a system that can estimate the market value of a car given these key features. This project demonstrates my proficiency in applying machine learning techniques to real-world problems, specifically in the automotive industry. By accurately predicting car prices, this model can assist buyers, sellers, and industry professionals in making informed decisions.
Ramanand
