Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
1. Pharmacy management model using database and python
Designed and developed a comprehensive pharmacy management system using SQL, Python, HTML, and CSS, including user authentication, inventory control, and billing functionalities. Implemented user login and signup pages, a user-friendly cart system, and a manager login portal for medication monitoring. Successfully integrated database operations to add new stock entries and automate the removal of expired medicines. Achieved seamless user experience resulting in efficient billing processes and real-time database updates.
2. Stress detection model using ML
Developed a Stress Detection Model using Machine Learning and Python. Utilized a labeled dataset containing phrases categorized as 'stressed' or 'not stressed' to train the model. Designed the system to assess user input sentences and determine the user's stress. Implemented stop words for classification. Achieved accurate stress detection, contributing to improved well-being and mental health awareness.
3. Pneumonia detection using CNN
Developed a Pneumonia Detection Model using Deep Learning, Machine Learning, and Python. Convolution Neural Networks (CNN) were employed to analyze standardized and grayscale X-ray images, classifying them as 'affected' or 'not affected' by pneumonia. Utilized the sigmoid activation function, binary cross-entropy loss, and the Adam optimizer to optimize the model's performance. Achieved accurate pneumonia detection, contributing to early diagnosis and patient care.