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šŸ’« About Me:

Hey There, I am Lakshin
Backend developer and currently a Final year CSE student
šŸ”­ My Second Account LakshinPathak šŸŒ± Iā€™m currently learning App Development

šŸ’¬ Ask me about: MongooDB, NodeJS, DSA

šŸ“« How to reach me: [email protected]

Connect with me:

Lakshin-Pathak

  • šŸ‘Øā€šŸ’» Technical Head IEEE Student Branch , Nirma University

  • āš” Student Researcher , Big Data Analytics Research Group CSE Department Nirma University

  • šŸ‘©ā€šŸ’» Data Science Fellow FellowShip.AI, 2024 (Cohort 31)

šŸ’» Tech Stack:

C++ arduino c css3 flask git html5 java javascript linux mysql opencv pandas photoshop python pytorch seaborn tensorflow

šŸ“Š GitHub Stats:




Lakshin Pathak's Projects

banking-application-using-tkinter-gui-python icon banking-application-using-tkinter-gui-python

This repository contains a simple yet robust banking application implemented in Python using the Tkinter library for the graphical user interface (GUI). The application allows users to perform basic banking operations such as account creation, balance inquiry, funds transfer.

crop-disease-detection-web-application-using-effecient-net icon crop-disease-detection-web-application-using-effecient-net

This repository contains the source code for a web application that performs crop disease detection using the EfficientNet architecture. The application is built with Flask, a lightweight Python web framework, and leverages a pre-trained EfficientNet model for accurate and efficient disease classification.

csv_file_visualizer icon csv_file_visualizer

This CSV File Visualizer is a web application built with HTML, CSS, Node.js, Express, and MongoDB. The project focuses on providing users with a powerful tool to analyze and visualize data from CSV files, offering features such as bar graphs, pie charts, histograms, group-by queries, and statistical calculations.

doctor_appointment_system icon doctor_appointment_system

This is an Doctor Patient Appointment web application built with Node.js, Express, MongoDB, HTML, and CSS. These application allows users to efficiently organize, manage and book appointments.

e-commerce-website icon e-commerce-website

Welcome to our E-Commerce website ā€” your one-stop destination for an immersive online shopping experience! This website is meticulously crafted using HTML, CSS, and JavaScript to provide you with a seamless and visually appealing platform for all your shopping needs.

event_management_webapp icon event_management_webapp

This is an Event Management web application built with Node.js, Express, MongoDB, HTML, and CSS. The application allows users to efficiently organize, manage, and participate in various events.

glasses-detection-from-human-face-images icon glasses-detection-from-human-face-images

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

loan-defaulter-application icon loan-defaulter-application

The Loan Defaulter Application is a machine learning project aimed at predicting whether a bank loan applicant will default on their loan. The application uses a pre-trained model to make predictions based on various input features such as applicant income, loan amount, loan duration, credit history, and more.

movie-recommendation-system_gemini_langchain icon movie-recommendation-system_gemini_langchain

The Movie Recommendation System is a web application designed to help users find movies tailored to their preferences. This project leverages the Gemini API, LangChain for language processing, and Streamlit for creating an interactive user interface.

picpostchat-social-media-web-application icon picpostchat-social-media-web-application

An interactive social media platform crafted with HTML, CSS, Node.js, Express, and MongoDB. Users can chat, create posts, like, comment, and explore content shared by others, fostering seamless communication and engagement within a dynamic online community.

shakespear_ai_textgeneration icon shakespear_ai_textgeneration

This project utilizes LSTM networks to produce text in the style of William Shakespeare. It delves into the blend of literature and AI by replicating the intricate linguistic features and poetic richness of Shakespeare's prose and poetry.

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