Faisal Fida's repositories
100-Python-Projects-Challenge
🚀 I challenged myself to Explore 100+ Python Projects using Google Colab. I want to create a vast collection of innovative projects, from machine learning to data science, and from automation to visualization! 💻✨
fastapi-starter
This repository contains fastapi starters with sqlalchemy, postgres, microservices and auth0 integration
Text-Embeddings-API
This project provides a REST API for generating text embeddings using the Sentence Transformers model. It is built using Flask and aims to simplify the process of converting text into embeddings for various NLP tasks.
Anime-Character-Prediction
This project is a web application that predicts anime characters using machine learning models. It leverages Flask for the web framework and Roboflow for the ML model predictions.
ChatBabu-ReverseEngineered
This project aims to reverse-engineer the ChatBabu website by scraping its data and interacting with its API using Python. The notebook demonstrates how to send requests to ChatBabu's endpoints and process the returned data.
ChatGPT-WhatsApp
This project demonstrates the integration of ChatGPT with WhatsApp using Python and Selenium. It automates the process of sending questions to ChatGPT and retrieving responses to be sent back on WhatsApp.
Content-Based-Filtering-Model
This project implements a content-based filtering model for recommending movies. The model uses various features extracted from a dataset of the top 1000 movies from IMDb to compute similarities and recommend similar movies.
Flask-Web-App-Tutorial
Code for the note storing flask web app made during a YouTube video.
HalalFindr
HalalFindr is a web application designed to help users locate and interact with Halal restaurants and food items. Built with Laravel, it provides a robust framework for managing users, restaurants, food items, and orders.
NLP-Classification-QnA-for-Beginners
Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.
Officemonster-Scraper
This project is a comprehensive web scraping application designed to collect product data from a specified e-commerce website. The project consists of two main Jupyter notebooks: URLS Scraper.ipynb and Product Scraper.ipynb.
PortfolioGPT
PortfolioGPT is an advanced portfolio analysis AI assistant designed to help users analyze and understand portfolio data. It uses specialized tools to access and interpret data from Faisal's portfolio, providing insights into skills, types of works, and resume information.
Scraping-UEL-University
This project is a Scrapy-based web scraper designed to extract course information from the University of East London's website.
Scrapy-Bot
Designed to extract detailed specifications of various devices from the DisplaySpecifications website. The project leverages Scrapy, a powerful web scraping framework, to navigate through the site and collect data efficiently.
Scrapy-Projects
This repository contains multiple Scrapy spider projects designed to scrape data from various retail websites. Each project has its own specific challenges and solutions, demonstrating the complexity of web scraping in different contexts.
Seerat-e-Nabi-Model-with-Llama-Index
This project is a web application that uses a FastAPI backend to provide responses to questions about the Seerat-e-Nabi model using the Llama Index for vector storage and querying.
shopify-mongodb-clothes
This project integrates Shopify with MongoDB to manage and analyze women's clothing data. It scrapes product data from Shopify, stores it in MongoDB, and provides analytical insights.
Symptoms-to-Diseases-Prediction-API
Flask-based API designed to predict diseases based on given symptoms using a pre-trained TensorFlow model. It demonstrates the integration of machine learning with web development to provide real-time predictions.
Tire-Quality-Prediction-WebApp
This project is a web application that predicts tire quality using a machine learning model. It leverages Streamlit for the web interface and TensorFlow for the model predictions.