Hello,
I'm Lasya Moravineni
Debugging my way through
Look around to get to know me.
Debugging my way through
Look around to get to know me.
Hey there! I'm a CSE (AI & ML) graduate from
CMRIT, Hyderabad. My journey
started with web development, where I honed my
skills in HTML, CSS, JavaScript, and Node.js,
alongside a solid foundation in Java programming
and DSA. But why stop at one thing? I explored
UI/UX and built projects to build a foundation in
design principles.
Curious about the ever-evolving
world of Artificial Intelligence, lately, I’ve
been diving deep into AI/ML and
Generative AI, exploring the intersection of
technology and creativity.
Beyond tech, I find joy in dancing, sketching,
journaling - and all things creative. With an academic
aggregate of 8.73, I’m always eager to learn,
build, and innovate.
👇Take a look at my resume to know more!
A simple, interactive AI chatbot built using Gradio that provides conversational support for mental health and emotional well-being. It uses a basic intent-matching NLP model with a custom dataset tailored for common mental health concerns like anxiety, sadness, and stress.
This UI/UX project involves designing a user-friendly cake delivery app with a focus on intuitive UI and seamless user experience. Key features include customizable cakes, real-time delivery tracking, and pet-friendly options. Built using Figma. For a detailed process breakdown, check out the case study.
This project features a dynamic quiz game built with HTML, CSS, and JavaScript, now enhanced with server-side capabilities using Node.js for backend and MySQL for database. It supports responsive design and includes a back-end setup for storing and retrieving scores.
This is a real-time chat application called "ChitChat" built using Node js and WebSocket. It allows multiple user connections simultaneously without any errors. It shows when a person joins or leaves the chat, along with total participants. Yet to add database.
This project consists of developing a model of classification of various social media posts into classes that determine whether the user has suicidal tendencies or not. The dataset used here is Twitter. The key objective being to present an automatic recognition of suicidal posts using ML techniques.
This is a weather application that displays real-time weather information for a given location. Here, OpenWeatherMap API is used to get the data, that includes the current temperature, humdity level, and wind speed. Go, check the forecast of your city now!
This is a simple daily use to-do list designed using JS. In this list, user can add, edit, delete items and mark them as completed. IDE used is VSCode and languages are HTML, CSS and JS. Wanna try? Go ahead! Start making your list now.
