Fine-tuning advanced NLP models, including Gemma and mt_Llama-3.2-3B-Instruct_241113, with Lamini for enhanced natural language understanding and generation capabilities.

Streamlit app that converts natural language schedules into structured AIXM Timesheets using a RAG pipeline. It retrieves relevant examples to accurately parse complex inputs, including seasonal ra…

AI-powered application that transforms natural language aeronautical service schedules into standardized AIXM 5.1.1 XML format. Built with Next.js and Python, it leverages Google Gemini's advanced …

Smart ATS Resume Analyzer uses AI to evaluate resumes against job descriptions. It identifies missing keywords and provides a profile summary to help users optimize their resumes for Applicant Trac…

Model utilizes Google’s Gemini (gemini-1.5-flash) generative model to deliver accurate and actionable feedback.

Bearing Fault Detection using Deep Learning Approaches. This project utilizes a CNN-LSTM model to detect bearing faults. The model is designed for efficient deployment on resource-constrained micro…

Streamlit application that uses NVIDIA's NIM model to answer questions based on embedded document vectors from PDF files. ; model="nvidia/llama-3.1-nemotron-70b-instruct"

A Gen AI URL summarizer using the Gemma-9b model that employs Stuff, MapReduce, and Refining techniques to efficiently process and condense web page content into concise summaries.

Integrating web app with Langchain SQL toolkit and Agenttype

AI-powered tools and agents to automate and enhance various organizational tasks and processes.

Conversational RAG With PDF uploads and chat history

Translating Languages Effortlessly: A FastAPI and Streamlit Application

Advanced Q&A Chatbot Using Ollama, Mistral, and Gemma2B Models for accurate and context-aware conversational interactions.