Here are some of my projects.

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  FlashGenie

  React, Next.js, Node.js, Material UI, Clerk, Stripe, OpenAI, Firebase, Vercel

  FlashGenie is a flashcard generation web application built with Node.js. Designed to enhance learning and memorization, FlashGenie offers a seamless experience for creating, saving, and reviewing flashcards. It includes robust features like user authentication, subscription management, and local storage tracking, making it a powerful tool for both students and professionals.
  

  ProfessAI

  React with Material-UI, Next.js, Google Generative AI (Gemini), OpenRouter (OpenAI), Pinecone

  ProfessAI is an AI-powered assistant designed to help students find the best professors based on their specific needs and preferences. Leveraging a Retrieval-Augmented Generation (RAG) system, ProfessAI analyzes a comprehensive database of professor reviews to provide concise, relevant, and personalized recommendations, streamlining the decision-making process for students.
  

  CodeBuddy

  React, Next.js, Material-UI, Firebase, Python, Vercel

  CodeBuddy is an AI-driven assistant designed to offer coding help and support through an intuitive and efficient interface. It features code assistance by providing code snippets, explanations, and suggestions for improvement. CodeBuddy also includes language detection that automatically identifies the programming language of provided code snippets, as well as error checking that highlights errors and suggests optimizations for better performance. Additionally, it offers clear documentation using Markdown formatting for code snippets and provides high-level comments to explain the code.
  

  Movie Recommender System

  Python, Git, Juputer, Streamlit, TMDB DataBase and API

  Created a Movie Recommender System using Python's Streamlit library, providing personalized movie suggestions with a 90% accuracy rate. Used Jupyter Notebook to streamline and organize movie data, reducing data processing time by 50%. Designed a user-friendly interface with dropdown menus and a recommendation button, improving user satisfaction by 30%. Implemented collaborative filtering and content-based filtering algorithms to enhance recommendation accuracy. Integrated the TMDB API to fetch movie data, including ratings, genres, and descriptions, ensuring up-to-date recommendations.
  

  Weather App

  JavaScript, HTML/CSS, Git, OpenWeatherMap API

  Developed a dynamic weather application using HTML, CSS, and JavaScript, fetching real-time weather data from the OpenWeatherMap API. Implemented a user-friendly interface with a search bar and button, increasing user engagement by 40%. Utilized asynchronous JavaScript (Promises) to handle API calls, ensuring smooth data retrieval and display without impacting the user experience. Conducted user testing to gather feedback, resulting in UI improvements and increased user satisfaction by 25%.
  

  To Do List

  JavaScript, HTML/CSS

  Developed a feature-rich Todo List web application using HTML, CSS, and JavaScript, enabling users to add, edit, and delete tasks with interactive functionalities. Integrated robust local storage functionality to persist user-generated data, ensuring 100% data retention after browser refreshes.Employed responsive design principles, improving accessibility across devices by 25%.onducted cross-browser testing to ensure compatibility and performance across multiple web browsers.

Here are some of other projects.