Swathi's Portfolio

About Me

I am passionate about leveraging technology to create innovative solutions that make a difference. With a strong foundation in programming languages and frameworks, I excel in both front-end and back-end development. My experience includes working on diverse projects, from web applications to AI-driven solutions, where I have honed my skills in problem-solving and collaboration. Fueled by passion and purpose, I thrive on transforming bold ideas into impactful realities. With a sharp mind and a creative spirit,I’m on a mission to innovate, inspire, and lead with excellence.

Projects

Skin Cancer Detection using Deep learning techniques.

Developed a smart and reliable web application that detects skin cancer using Convolutional Neural Networks (CNN). This AI-powered system analyzes skin lesion images to classify them as benign or malignant with high accuracy. The project integrates a trained deep learning model with a user-friendly interface, enabling users to upload images and receive instant predictions. Designed to support early diagnosis and raise awareness, this project showcases the powerful intersection of healthcare and technology.

Customer Complaint Classification System using BERT model

Built an intelligent web-based system that classifies customer complaints using the BERT (Bidirectional Encoder Representations from Transformers) model. Users can submit complaints through an interactive interface, and the system automatically categorizes them into relevant classes such as product issues, service delays, or transaction problems. The admin dashboard provides a streamlined view of all complaints, allowing for quick review and action. This project demonstrates the practical application of NLP and transformer-based models in enhancing customer support efficiency and satisfaction.

Chota-The Chatbot

Chota is a voice-activated chatbot built using HTML, CSS, and JavaScript. It listens to voice commands and can open various Google services such as YouTube, Gmail, or perform searches. In addition to these functions, Chota communicates basic greetings and wishes in Telugu, creating a personalized and interactive user experience. With its voice-driven interface and cultural touch, Chota exemplifies how simple web technologies can be combined with voice recognition to create a fun and efficient digital assistant.

Malla Reddy University Chatbot

Built a chatbot using Python, JSX, JavaScript, and CSS that allows users to enter a roll number to retrieve student details like name, year of study, section, CGPA, and SGPA. The bot connects to a MySQL database (via phpMyAdmin) where 10 student records are stored, with plans to expand to all student records. It provides a quick and efficient way for students and staff to access academic information.

MyRestaurant Food ordering website

Currently my food ordering Website is under development,aimed to create a real time food-ordering system just like other restaurants where users or customers can order food online.