PROJECTS

Detection of Credit Card Fraudulent Transactions

During credit card transactions, the threat of fraudsters breaching security and making fraudulent transactions looms large. In this project, I delved into the realm of Boosting algorithms, employing CatBoost, XGBoost, and Stochastic Gradient Boosting to combat credit card fraud. Boosting proved to be a formidable ally, enabling accurate identification of fraudulent transactions. Among the algorithms, CatBoost emerged as the undisputed champion, showcasing exceptional precision, recall, and confusion matrix evaluations. With a remarkable 77.67% accuracy, the model I built stands strong, successfully predicting the sentiment of restaurant reviews.

Sentiment analysis of Restaurant Reviews

Embark on a captivating voyage into the world of sentiment analysis, where cutting-edge NLP and ML algorithms unlock the true essence of restaurant reviews. In this project, I harnessed the power of Multinomial Naive Bayes, Bernoulli Naive Bayes, and Logistic Regression to predict sentiment with remarkable accuracy. After rigorous evaluation, Multinomial Naive Bayes emerged as the slightly superior method, boasting a commendable 77.67% accuracy rate. Witness the magic of data-driven insights as the model effortlessly predicts the sentiment of restaurant reviews, enabling businesses to make informed decisions that enhance customer experiences and drive success.

Human Emotions Classification with Seed Dataset

"Decoding Human Emotions: Unveiling the Power of AI"

In today's dynamic world, understanding and classifying human emotions is more crucial than ever. Whether it's gauging product satisfaction or detecting signs of depression in healthcare, emotion analysis plays a vital role. Harnessing EEG signals collected from the brain, we embarked on a journey to decode these complex emotions.

Leveraging the KNN classifier, we initially extracted features from a mock dataset, achieving impressive results for small datasets. However, for larger datasets and more nuanced classifications, the game-changing power of Recurrent Neural Networks (RNN) came into play. With an astounding 96.22% accuracy, the KNN classifier laid the groundwork, while the RNN further elevated performance with a remarkable test accuracy of 85.71%. Join us on this transformative quest as we delve into the depths of human emotions, empowering AI to unlock new realms of understanding and impact.

CanSat

In the prestigious CanSat 2020 competition organized by NASA in the USA, teams from around the world showcased their innovative and cutting-edge technologies. CanSats, which are simulation models of real satellites, were designed and built by the participating teams. These miniature satellites were equipped with various sensors and instruments to perform specific missions.

Our team put forth a remarkable effort in this thrilling competition. We developed a CanSat that was designed to gather atmospheric data and transmit it back to the ground station. Our CanSat was equipped with state-of-the-art sensors to measure temperature, humidity, pressure, and other environmental parameters. We meticulously programmed it to ensure accurate data collection and efficient transmission.

Participating in CanSat 2020 fueled our passion for space exploration and engineering. The competition provided a platform to apply theoretical knowledge to practical challenges, further enhancing our skills and fostering innovation. We are grateful to NASA for organizing such an incredible event that encourages young minds to dream big and reach for the stars.

Overall, our CanSat project for the CanSat 2020 competition was a resounding success. It showcased our ability to design and execute a sophisticated satellite model while highlighting our commitment to scientific exploration and technological advancement. The experience gained from this competition will undoubtedly shape our future endeavors in the field of aerospace engineering.

Infinity App

I had the exciting opportunity to contribute to the development of a Business Banking web app, where I played a key role in its creation. With a focus on delivering a seamless user experience, I integrated essential services into the platform, ensuring that businesses have all the necessary tools at their disposal. One of my major responsibilities was to implement critical user interface features, carefully designing and implementing intuitive layouts and interactive elements. By leveraging my skills in web development and UI design, I was able to contribute to the app's functionality and overall aesthetic appeal. It was a rewarding experience to be part of a team working towards empowering businesses with a comprehensive and user-friendly banking solution.

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