Rhythm Tandon

Flavorful Finds

• Designed and developed a recipe-sharing platform where users can create, share, and explore diverse culinary recipes. Implemented user authentication, ensuring secure access and personalized experiences.

• Implemented Social Features including user profiles, likes, comments, and sharing for enhanced engagement.

• Integrated advanced search filters, allowing users to find recipes based on cuisine type, category, and specific ingredients.

• Developed using HTML, CSS, JavaScript, ReactJS, NodeJS, and SQL, ensuring a responsive and scalable web application.

Netflix Clone

• Created a video streaming platform replicating core Netflix functionalities to enhance full-stack development expertise.

• Designed a dynamic homepage showcasing trending content with an intuitive and user-friendly interface.

• Implemented robust APIs for video streaming and seamless content search, improving the overall user experience.

• Developed using Python, Django, Node.js, ReactJS, Angular, and SQL, ensuring efficient data handling and scalability.

Telecom Churn Prediction: AI-Driven Customer

• Conducted a comparative analysis of machine learning classifiers such as Random Forest and XGBoost to improve telecom customer churn prediction accuracy.

• I Identified key churn predictors, with Logistic Regression emerging as the best model, revealing insights like high monthly charges for Fiber Optic customers.

• Explored the potential of hybrid classifiers to enhance model accuracy and investigated insights to develop AI-driven recommender systems for customer retention.