As a highly motivated and innovative individual, I have developed an AI system for a school project that analyzes the stock market and predicts stock prices and market crashes. Utilizing Python as the primary language and various libraries and tools such as Keras, NLTK, NewsApiClient, Streamlit, and Yfinance, I implemented a LSTM-based stock price prediction algorithm with an impressive RMSE value of 2.350, indicating highly accurate predictions of future stock prices. Additionally, I incorporated a NLP-based sentiment analysis algorithm with a confusion matrix showing that the model correctly predicted all 8 test cases with no false positives or false negatives, demonstrating exceptional accuracy. Notably, I developed a user-friendly web-based interface that includes real-time updates and data visualization features, making it easy for users to interact with the system. Completing the project independently showcases my strong problem-solving skills and the ability to work autonomously, making me an asset to any team or project. In addition, I also designed and developed a web application, which simulated an online store. Leveraging my skills in HTML, CSS, JavaScript, and Node.js, I created a fully functional web application that offered an immersive online shopping experience. Applying responsive design principles and my knowledge of color theory, I crafted a visually appealing user interface that ensured ease of use and enhanced user experience. Overall, this project allowed me to showcase my proficiency in web development and design, demonstrating my ability to create innovative and engaging web applications.