Somyansh Avasthi's Projects
This repository contains LeetCode articles which are very useful during the interview preparation.
Solving leetcode problems and interview questions from the leetcode platform of different levels of difficulties.
Leveraging Large Language Models (LLMs) to query CSV files and plot graphs transforms data analysis. This allows to interact with datasets using natural language, simplifying insight extraction and trend visualization. By integrating LLMs with data querying and graph plotting tools, professionals achieve intuitive and efficient data manipulation.
To develop a computer aided diagnosis tool to detect the presence of diabetic retinopathy and classify whether it is a normal diabetic retinopathy or an abnormal diabetic retinopathy.
Sentiment analysis for market research based on customer feedback :- Understanding customer sentiment to drive business success.
A real-time sign language recognition system that accurately interprets hand gestures, ensuring seamless communication accessibility and inclusivity.
This repository implements a sign language detection system using MediaPipe. Manually collected and annotated data ensures high accuracy. Leveraging MediaPipe's hand landmark detection, the system processes video frames to classify and translate sign language gestures in real-time.
Visualising all different kinds of sorting algorithms along with time complexity, their applications, space complexity and other parameters with the help of data structures and algorithms.
Created a virtual Baccarat casino game using C++. Implemented game logic, random card generation, and user interface. Demonstrated problem-solving skills with bet validation and natural win handling. Received positive feedback for engaging gameplay and smooth functionality.
YOLO (You Only Look Once) is a real-time object detection system that can detect objects in images and videos quickly and accurately. The deep learning algorithm is trained to recognize new objects and improve its accuracy over time.