Project 1: Intelligent Job Matching System

Job Matcher is a Python project designed to help users find suitable job opportunities by scraping data from multiple job websites such as LinkedIn, Indeed, Bayt, and Wuzzuf. The project performs data scraping, preprocessing, and feature engineering, consolidating the information into a single CSV file. Users can input their CV, which is then summarized using transformer models. The summarized data is used to calculate cosine similarity against job data, helping users discover the most relevant job opportunities.

May 10, 2023

Project 2: Stock Price Prediction

Employed LSTM model to forecast stock prices, powered by Python with Plotly for robust data analysis and visualization. Implemented web deployment using Django, HTML, CSS, and Bootstrap for user-friendly interaction. Inviting contributions to enhance predictions leveraging historical stock data. Ready to collaborate for further advancements in forecasting accuracy.

Example Computer Vision Projects.

February 9, 2022

Project 1: Licence Plate Detection and Recognition

This project aims to detect license plates in images using the YOLOv8 model and extract text from the detected license plates. It includes the complete workflow from data preparation and model training to model deployment using OpenVINO. The main components of this project include:

November 10, 2022

Project 2: Human Emotions Detection

Developed Human Detection and Emotion Recognition with ViT, CNN, and Quantization for resource-efficient AI. Explored computer vision techniques and model visualization, including Hugging Face Model with WandB. Enhanced Emotion Detection Model with Patch Encoder, Transfer Learning, and Human Face Recognition. Demonstrated deployment using FastAPI, ONNX Quantization, and TensorFlow Record for efficient resource utilization.

Example LLM | NLP Projects.

April 9, 2023

Project 1: OpenAI Projects

ChatGPT : The OpenAI-API Project integrates meal plan generation and YouTube audio summarization via FastAPI, powered by OpenAI's APIs. It enables personalized meal plans and vivid image creation for meals, alongside efficient YouTube audio summarization. Users can easily clone the repository, set up the environment, and access these features through the FastAPI app.

April 10, 2020

Project 2: Laptops Price Prediction

The "Laptops Price Prediction" project combines web scraping and ML across five stages: data collection, preprocessing, GUI creation, ML model development, and API deployment. It collects online store data, preprocesses it, builds a predictive model, and deploys an API for user interaction. Additional features include NLP model integration and regular expression usage for text analysis.