ANJILASUBEDI

This Django web application utilizes Convolutional Neural Networks (CNN) for real-time sign language recognition. It can classify up to 10 different labels of sign language gestures. The application consists of a frontend developed using HTML/CSS and a backend powered by Django.

Automatically generates captions for Nepali cultural dance videos using CNN-based encoders like VGG16 and EfficientNet, paired with LSTM and GPT decoders for detailed and contextual captions.

Gantavya is a modern and efficient solution for public transportation management. It utilizes advanced technologies such as facial recognition, geo-tagging, and mobile payment to streamline the commuting experience that addresses the problems of the public while travelling such as security issues, unfair pricing and discomfort.

This is a Streamlit web application for summarizing text from PDFs, text input, and images. It utilizes EasyOCR for text extraction, Hugging Face's Transformers for text summarization, and Streamlit for the user interface.

LLM based Resume Parser and Job Matching A system that parses resumes, extracts key details using prompt engineering, and matches candidates to relevant jobs. Additionally generates tailored interview questions based on job descriptions.

A mobile and Web AI-based study tool built with Next.js that processes PDFs, YouTube videos, PPTs, research papers, and articles to generate flashcards, quizzes, and summaries.