Chatllama is an open-source project that leverages open source models for conversational AI. It enables users to interact with a chatbot that can generate human-like responses. The project is built using React, Node.js, and the Ollama API for generating responses.
Developed a network simulation leveraging WebSockets for real-time communication, HashMap for caches, & ARP for resolving network addresses. The simulation includes bridges for network segmentation, routers for directing data packets, & switching mechanisms to ensure seamless transfer of data frames across the network
Implemented Maximal Clique Algorithm for finding maximal & non-maximal clique in uncertain networks, datasets based on Social networks. such as LinkedIn, Facebook, Ask Ubuntu
Unraveling the enigma of an oil sample through cutting-edge mass spectrometry. Deciphered the molecular formulas of the top five abundant compounds, igniting a quest to unveil their true identities. A testament to my passion for unlocking nature's secrets, one spectrum at a time.
Predicting Monsoon Forecast for the Florida region using Graph CNNs and 3D CNNs. Analyzing a hundred years worth of data (1923-2023) from the whole world to predict monsoon season.
Trained a text generation model based on `Attention is All you need` Paper, on a dataset of stock rules & articles from wall street. The model generates coherent and contextually relevant text based on the input prompt.
Developed a Pdf Summarizer & Extractor using RAG (Retrieval Augmented Generation) model. The model extracts the most relevant information from the pdf and generates a summary.
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