My Projects
Temple Analytics
To store the registered temple data in MongoDB, analyze the data, and provide results based on our queries.
Mongodb
Express
React-JS
Node-JS
Fake News Detcetion
Leveraging the power of Machine Learning and NLP ,My project provides an effective solution for identifying and flagging misleading or fabricated news articles.
Machine Learning
Traffic Sign Detection
Leveraging the power of Deep Learning , My project focus on accurately identifying various types of traffic signs using Cnn,Resnet-101,VGG-16.
Python
Deep Learning
E-Commerce Website
Leveraging the full-stack capabilities of react for the frontend and a robust backend stack comprising Node.js,Express.js It provides a user friendly e-commerce website.
React JS
Node JS
Crop Recommendation System
Leveraging Data anaytics and Machine learning,It provides farmers with Recommendations on the most suitable crop to cultivate based on various factors such as soil type.
Machine Learning
Painting Website
It provides a user-friendly platform for children by providing variety of tool and make them to explore their interest through digital painting.
React JS
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Movie Ticket Booking
Leveraging Tkinter and DBMS,It provides a user-riendly plateform to book the movie ticket.MySQL is used to store the booking records
Tkinter
MySQL
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Happiness Analysis
This project uses the World Happiness Report 2024 dataset to classify countries as "low", "medium", or "high" happiness based on input features using four machine learning models.
Machine Learning
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Volume & Brightness Control Using HandGesture
This project uses MediaPipe hand landmark detection to control volume and brightness based on hand gestures, using thumb–index finger distance for brightness(right hand side) and volume (left hand side).
Python
Libraries Used
OpenCV
MediaPipe
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AI Virtual Paint
This AI-based virtual paint app uses MediaPipe and OpenCV to let users draw on the screen with hand gestures detected via webcam, offering a fun and interactive drawing experience with real-time tracking and color selection.
Python
Libraries Used
OpenCV
MediaPipe
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Load Balancer Using Socket
This Simple TCP Load Balancer project is a multithreaded solution designed to efficiently distribute incoming network traffic across multiple backend servers. It aims to enhance performance, scalability, and availability by intelligently routing requests and optimizing resource utilization.
C
Computer Networks
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Integration of AI for Adaptive Learning for MCQ Selection in PARAKH
This project develops a web-based adaptive MCQ system that personalizes tests based on user performance, using NLP and LSTM to classify question difficulty and suggest suitable questions.
React
NLP
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Yolo Object Detection
This project demonstrates object detection using the YOLOv8 model from the Ultralytics library, applied to images from a colorful fashion dataset. The model detects multiple object classes in real-time with high accuracy and visualizes results using matplotlib. It also saves the annotated output images locally for further analysis or presentation.
Python
Yolo
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Chess Game Using Multi-Threading
This project implements a chess game using multithreading to handle user input, computer moves, and game logic concurrently. By running these components in parallel, it ensures smoother gameplay and real-time interaction.
C
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Dictionay Using BST
A dictionary can be efficiently implemented using a Binary Search Tree, where keys are organized for faster search. Unlike unsorted lists with slow search, BSTs offer better performance for large datasets. They also support efficient insertion, deletion, and in-order traversal for sorted data access.
C
DSA
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