Muhammad Adil Naeem's Projects
Welcome to the Basic ChatGPT-like Clone Using Streamlit repository! This project aims to create a simple, yet powerful, ChatGPT-like interface using Streamlit. Users can chat with the bot, store chat history with contextual tab naming, and enjoy various customization features.
The Exploratory Data Analysis (EDA) App is a Streamlit-based web application that allows users to perform comprehensive exploratory data analysis on their datasets. This app provides an intuitive and user-friendly interface for uploading CSV files, visualizing the input data, and generating an interactive profiling report.
This repository contains all the tasks, code, and documentation completed during the BCG Data Science job simulation on The Forage platform. The simulation focused on analyzing customer churn, building predictive models, and presenting insights for a major utility company.
Welcome to the Chat With Multiple PDF Documents project! This repository showcases a powerful application that allows you to chat with multiple PDF documents using the advanced capabilities of LangChain and Google Gemini. π
In this Repository I will upload source code of Machine Learning Projects That I will complete During my Code Alpha Internship.
This Repository will contain Source Code of Projects that I have done in CodeAlpha Internship.
This Repository will contain Source Code for Internship Projects that I will complete for Congo Rise Info Tech.
With the power of Generative AI and the LangChain library, this tool generates well-structured and persuasive emails tailored to specific needs, reducing the time and effort required to connect with potential clients or partners. π―
This project aims to predict the compressive strength of concrete using various machine learning models. The analysis is performed on a dataset that includes features such as the composition and age of the concrete. The goal is to identify the most effective model for predicting concrete strength.
Welcome to the Conversational Q&A Chatbot project! This chatbot leverages the powerful Gemini Pro API to provide accurate and intelligent answers to user queries in a conversational format. Built with Streamlit for an interactive and user-friendly web interface, this project demonstrates capabilities of modern AI in natural language understanding.
This is a Streamlit application that provides personalized course recommendations based on user preferences. The app allows users to select courses they have audited or completed, trains a recommendation model, and generates recommendations for new courses.
Welcome to the repository for the "Create AI-Powered Apps with Open Source LangChain" project! This repository contains the source code and resources from the CognitiveClass.ai course on building AI-powered applications using the LangChain framework.
This project explores customer segmentation using various clustering techniques on a dataset of mall customers. The goal is to identify distinct customer groups based on demographic and behavioral attributes, enabling businesses to tailor their marketing strategies more effectively.
Welcome to the Exploding Population Myths 1995 repository! This project leverages the Google Gemma model to analyze and debunk common population myths from 1995 book, providing valuable insights into historical population trends.
Welcome to the Lahore Air Quality Index Predictor repository! π This project is dedicated to predicting the air quality index (AQI) of Lahore using various machine learning techniques. πβ¨
The MCQ Generator is a comprehensive project designed to generate multiple-choice questions (MCQs) from provided text, evaluate the complexity of these questions, and present them through a user-friendly web interface. This project leverages LangChain and Streamlit for its core functionality.
Welcome to the Medical Chatbot Assistant project! This repository contains a powerful and efficient medical chatbot built using the LLaMA 2 model, Hugging Face embeddings, and Pinecone vector database. The chatbot is designed to assist users with medical inquiries, providing reliable and accurate responses.
Config files for my GitHub profile.
This application is designed to extract information from uploaded invoice images and provide detailed responses based on user prompts. It leverages the Google Gemini-1.5-flash model for generating content and analyzing the invoice data.
Welcome to the On-Device AI RAG project! This repository demonstrates how to utilize the ObjectBox Vector Database and LangChain to build a robust Retrieval-Augmented Generation (RAG) system directly on your device.
This chatbot is built using Streamlit and LangChain to provide a seamless user experience. It allows users to input their questions and get responses from the gpt-4o-mini model. The UI is designed to be user-friendly and responsive, with custom CSS for styling.
This project is a Flask web application that allows users to ask questions and get answers using a Retrieval-Augmented Generation (RAG) model. Users input their questions, and the application returns relevant answers based on the indexed documents.
Welcome to the Resume Application Tracking System (ATS) project! π This project leverages the power of Google Gemini Pro API and Streamlit to create a user-friendly web application for managing and tracking job applications efficiently.
Welcome to the Simple Question Answer ChatBot! This project is a basic chatbot that answers questions based on predefined responses.
Welcome to the Machine Learning Basics repository! This repository is dedicated to showcasing my journey through learning the fundamentals of machine learning. You'll find various datasets, Jupyter notebooks, and source code that I have worked on.
This project implements a web-based SQL query interface using Flask, integrating with OpenAI's language model and LangChain for handling SQL queries and database interactions. Users can enter their database credentials and SQL queries to receive responses formatted in a striking and emphatic manner.
This project leverages data science techniques to build a predictive model that estimates a student's exam performance. The project follows a structured data science workflow, including data collection, preprocessing, model building, evaluation, and deployment.
Welcome to the Text-To-SQL LLM App! This project leverages advanced language models to convert natural language queries into SQL statements, providing a seamless interface to interact with SQL databases using the Google Gemini API. π