Projects

Welcome to my portfolio! Explore a diverse array of projects that showcase my expertise in applied AI solutions development. Each project highlights innovative applications and demonstrates my ability to effectively solve real-world problems. Enjoy your visit!

Bitcoin Price Prediction

Designed and implemented a deep learning model utilizing LSTM networks to forecast Bitcoin prices. By leveraging historical data and time-series analysis, this project showcases the application of advanced neural network architectures for accurate financial forecasting.

Dental Issue Detection

Developed a machine learning solution to identify dental issues from radiographic images. This project emphasizes precise classification and diagnosis, enabling early detection and treatment planning without relying on CNN architectures.

IMDB Movie Reviews Sentiment Analysis

Developed a sentiment classification system using deep learning techniques, specifically LSTM-based models, to analyze IMDB movie reviews. The model effectively differentiates between positive and negative sentiments, showcasing advancements in natural language processing.

Web Scraping

Developed automated web scraping solutions to extract and process data from various websites. Utilizing tools like BeautifulSoup and Scrapy, this project focuses on efficient data collection, enabling insights and analysis for diverse applications.

Covid Data Analysis

Conducted an in-depth analysis of Covid-19 data, including infection rates, recoveries, and fatalities. Leveraging data visualization and statistical techniques, this project provides insights into pandemic trends, aiding in informed decision-making and public health strategies.

Object Detection Model

Developed an object detection model using advanced deep learning techniques, such as YOLO or Faster R-CNN, to identify and localize objects within images. This project showcases the application of computer vision for real-time detection and recognition tasks across various domains.

Dr. AI

Developed an AI-driven healthcare assistant capable of providing preliminary diagnostics, analyzing medical images, and offering treatment recommendations. By leveraging machine learning and natural language processing, this project enhances medical decision-making and improves patient care efficiency.

Bone Fracture Detection

Developed a deep learning model to identify bone fractures from X-ray images, leveraging advanced techniques to automate and enhance medical diagnostics with high accuracy. This project demonstrates the impactful application of AI in healthcare imaging.

Real Estate Housing Price Prediction

Built a machine learning model to predict real estate housing prices based on historical data and key features such as location, size, and amenities. This project demonstrates the application of regression techniques for accurate property valuation and market analysis.

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