TubaSid

TubaSid's Stars

• samadpls/Querypls

  Querypls🛠️: WebApp that Simplify SQL with Your Prompts. Transforming questions into SQL commands effortlessly.

  Language:Python74127

• samadpls/opensource

  This repository will help you to contribute open source on GitHub. It will cover all the steps you need to follow to do any kind of open source contribution.

  351626

• samadpls/Life-Insurance

  This project is the result of my introduction to software engineering course where our aim was to develop a transaction-based software.

  Language:HTML17202

• samadpls/Programing-Gifs

  Programing-gifs is a web app that displays different gifs related to programming at random whenever page refreshed.

  Language:JavaScript13127

• samadpls/yt-clickbait-detector

  A web application which suggests user non-clickbait video on YouTube s. Easy to use.

  Language:Python13202

• samadpls/samadpls

  Hello, GitHub fellows, thankyou for taking your time out to view my profile. Make sure to Star it :)

  121010

• samadpls/NeuralNet-DigitRecognizer

  This repo uses a neural network to recognize digits from images. It trains the network using the backpropagation algorithm to minimize the error between predicted and actual labels. The code tests the network accuracy and allows the user to input an image to see the predicted digit. 🧠💻

  Language:Jupyter Notebook10100

• samadpls/SentimentFineTuning

  Efficient fine-tuned large language model (LLM) for the task of sentiment analysis using the IMDB dataset.

  Language:Python720

• TubaSid/Smart-Traffic-Management-System

  There has been a population increase which has consequently led to traffic congestion in the city of Karachi. Making a smart traffic management system that makes use of video and picture data of the traffic on the roads of Karachi, Pakistan. This works by performing machine learning using an algorithm over the recent frame obtained from the video to estimate the number of vehicles present in a scene. Cameras will be installed on the opposite of the lane, beside the traffic light and will take its real-time video. At the back-end, Raspberry Pi would be connected to handle video processing. Raspberry pi would receive video as input from the camera of each road. Image framing would capture frames from the video at several fixed intervals. By taking our city, Karachi, into consideration we are creating our data set based on images captured from within the city. The proposed project aims to make decisions for the traffic signal timings based on vehicle densities. The project will be deployed on a four-way traffic signal. It will make use of image processing to separate image frames while machine learning algorithms will perform the task of signal controlling and vehicle detection. The reason for using Image Processing and machine learning is because it keeps production costs are low while achieving high speed and accuracy.

  Language:Python7100

• samadpls/Scala-FunctionalProramming

  This repo contains my practice on Scala and functional programming. It includes lectures and labs from various sources that helped me learn the basics and advanced concepts of Scala.

  Language:Scala610

• samadpls/Scala-LeetCode

  Collection of LeetCode questions to ace the coding interview! -

  Language:Scala510