Agriculture Rental Tool System
Developed a web application for renting agricultural tools efficiently; built interfaces using HTML, CSS, and JavaScript; integrated MongoDB for storage and retrieval. Tech stack: HTML, CSS, JavaScript, MongoDB.
Aspiring Software Engineer | Full Stack | AI | Web Technologies
Aspiring Software Engineer and Computer Science undergraduate specializing in Artificial Intelligence and Machine Learning, with hands-on experience in web development and NLP-based systems.
MOM Pharmacy – Healthcare Startup (Medicine on Minutes)
Developed a responsive healthcare web application with scalable architecture; built frontend interfaces using HTML, CSS, JavaScript, and React.js; implemented backend services using Node.js, Express.js, and MongoDB; followed modular component-based architecture for scalability.
Bachelor of Technology - BTech, CSE(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)
2022
CGPA: 8.31
Developed a web application for renting agricultural tools efficiently; built interfaces using HTML, CSS, and JavaScript; integrated MongoDB for storage and retrieval. Tech stack: HTML, CSS, JavaScript, MongoDB.
Developed a secure student performance tracking web application; implemented Firebase authentication and MongoDB integration. Tech stack: Python, Django, Firebase, MongoDB.
Built an NLP-based machine learning system to detect fake reviews; performed preprocessing, feature extraction, and model evaluation. Tech stack: Python, Scikit-learn, NLTK, Streamlit.