Python Full Stack Developer With DataScience
PROJECTS:
CLINICAL MANAGEMENT SYSTEM:
Tech Stack: React.Js, HTML, CSS, Bootstrap, Django REST Framework, Python, MySQL
Team Size: 4 | Role: Lab Technician & Pharmacist Module Developer
Developed the Lab Technician module to manage doctor-prescribed lab tests and enter test results.
Integrated lab test data with patient and doctor records to ensure seamless inter-departmental communication.
Built dynamic React.Js forms for efficient and accurate test result entry.
Consumed RESTful APIs to fetch, update, and store lab test data in real time.
Implemented backend logic in Django for validating and securely updating test results.
Utilized MySQL for managing lab test records with relational links to patients and doctors.
Developed features for the Pharmacist module, including medicine stock management and billing.
Enabled real-time updates for inventory tracking and patient billing based on prescriptions.
Collaborated with team members across all modules (Admin, Receptionist, Doctor, etc.) to ensure end-to-end system integration.
Followed modular development practices and used Git for version control and team collaboration.
GENERATIVE AI CHATBOT FOR WEBSITE INTEGRATIONS:
Technologies: Generative AI, Scrapy, Django REST Framework, React.Js, Python
Developed an intelligent chatbot system for website customer support using Generative AI models.
Implemented an automated web scraping pipeline with Scrapy to extract and preprocess website content.
Built a robust backend API using Django Rest Framework for storing data and managing chatbot responses.
Created a responsive chatbot interface in React.Js with real-time messaging functionality.
Integrated Natural Language Processing (NLP) to provide contextually relevant and accurate responses.
Connected third-party APIs to extend features and enhance user experience across web platforms.