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hey there

  • 🔭I am Akshay Jagtap currently studying B.TECH in Artificial intelligence and data science (4th year).

  • 🚀 I'm deeply immersed in learning and developing applications utilizing Large Language Models (LLMs), exploring their potential in various domains.

  • 🌱 I like to build Machine learning models and play with IOT tools.

  • ⚡ In my free time, I solve problems and play FPS computer games!

  • 📫How to reach me: Linkedin Badge gmail baddge

Jagtap Akshay Vijay's Projects

chat-with-pdfs-langchian-openai-and-streamlit-integration icon chat-with-pdfs-langchian-openai-and-streamlit-integration

This repository contains a Python application built with Streamlit that utilizes lanhchain and openai API for answering questions based on uploaded PDF files. Users can interact with the web-based interface, providing an OpenAI API key, uploading a PDF document, and querying questions related to the PDF content.

ml-projects icon ml-projects

A compilation of diverse hands-on projects developed for learning and experimentation. From computer vision tasks to data analysis, this repository showcases a range of projects designed to explore different aspects of machine learning, computer vision, and data processing.

multithreadai-openai-assitant-api-with-mongodb-integration icon multithreadai-openai-assitant-api-with-mongodb-integration

MultiThreadedAI A scalable AI assistant powered by Flask RESTful and MongoDB integration. Concurrently assists multiple users, delivering fast responses. Seamlessly manage users and data. RESTful APIs for questions and prompts, with JSON-formatted answers. Boost productivity and streamline information retrieval.

netflix-titles-eda icon netflix-titles-eda

This project delves into the fascinating world of Netflix content, examining trends, patterns, and insights using Python's data science and visualization libraries, including NumPy, Pandas, Matplotlib, Seaborn, and Plotly.

pinecone-textindexer-using-langchian icon pinecone-textindexer-using-langchian

Python program that facilitates the ingestion of text data, generates embeddings using OpenAI, and indexes these embeddings in Pinecone for fast and efficient retrieval. This README provides an overview of the program, installation instructions, usage guidelines, and configuration options.

pothole-detection-system-using-yolo-tiny-v4 icon pothole-detection-system-using-yolo-tiny-v4

An intelligent Pothole Detection system using YOLOv4 Tiny, capable of identifying and categorizing potholes . The severity level of each pothole (Low, Medium, High) is assessed based on its area in the frame. This system provides a valuable tool for monitoring road conditions and prioritizing maintenance efforts.

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