Description


With over three years of experience in web development, I have honed my skills in building robust and scalable APIs using Flask, and creating visually appealing and user-friendly interfaces with Next.js and React. My expertise extends to database integration, ensuring seamless data management and storage solutions. I have a strong foundation in Python, with four years of experience, allowing me to develop efficient back-end systems and automate complex workflows.

In addition to web development, I have specialized knowledge in machine learning, with over a year of experience. This includes developing recommendation systems, data analysis, and predictive modeling. My work in this area has involved creating custom algorithms and integrating machine learning models into web applications to provide personalized user experiences.

My proficiency in JavaScript complements my Python skills, enabling me to build full-stack applications with rich, interactive features. I am adept at using modern frameworks and libraries to enhance front-end development, ensuring that applications are not only functional but also intuitive and engaging.

Passionate about technology and always eager to learn, I continuously explore new tools and methodologies to stay at the forefront of the industry. My commitment to professional growth is reflected in my ability to adapt to the ever-evolving tech landscape, making me a versatile and resourceful developer. Whether it's working on a complex back-end system, crafting a stunning user interface, or implementing advanced machine learning solutions, I approach each project with dedication and a drive to exceed expectations.

Skills

Python
JavaScript
Machine Learning
Web Scraping
Flask
React
Firebase
Node.js
Next.js
SEO
NLP
Mongo DB

Projects

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HapyNotes - A Awesome website for your notes.

HapyNotes was built using Next.js, Firebase Authentication, and Firebase Database. The website has 10+ slugs, utilizing Next.js's Page Routing. Three of these slugs implement the Static Site Generation (SSG) methodology to render content dynamically. Whenever a change request is made by a Creator[Site to upload content in HapyNotes], the server re-renders and updates the page content, enhancing the site's SEO friendliness. The site also includes features like authentication for liking posts and comments, a personalized feed, and more. Additionally, it has a recommendation system that ensures users receive the best content tailored to their preferences and more features.

Next.js Firebase Flask ML SEO View Online
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NeuroVision - Tumor Detector

NeuroVision is a sophisticated web application designed to assist in tumor detection and prediction by combining advanced front-end frameworks, robust backend support, and machine learning capabilities. The front-end is built using Tailwind CSS for a clean, responsive, and visually appealing design, ensuring a seamless user experience across various devices. It also utilizes Next.js, a React-based framework, to provide dynamic components, server-side rendering (SSR), and static site generation (SSG), enhancing performance and interactivity. On the backend, Flask, a lightweight Python web framework, handles server-side logic, enabling smooth communication between the front end and the ML model. The core functionality is driven by a machine learning model that detects tumor types and predicts metadata such as patient age and tumor location. This integration of modern technologies ensures that NeuroVision is both powerful and user-friendly, offering precise and actionable insights for medical applications.

Next.js TensorFlow Flask View On LinkedIn
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Creator - A site to upload content in HapyNotes

Creator was built using react.js, Firebase Authentication, and Firebase Database. The website's aim was to redirect creators to different website.

React Firebase View Online
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DRK Player - Player which recommend songs

While listening music on YouTube i found YT algorithm is not working fine for me, So as a ML project i build a Recommendation Engine. Combination of React, Flask, ML

React Flask ML View Online
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DeBite - A platform for debaters

DeBite is a platform built with Next.js, Firebase, and Tailwind CSS, providing high-quality Parliamentary Debate transcripts with minimal yet insightful analysis. It allows users to explore and analyze real debate transcripts, helping them identify effective argumentation strategies and refine their debating skills. By focusing on practical learning through real examples, DeBite serves as a valuable resource for debaters looking to improve.

Next.js Tailwind Firebase View Online
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The World Of Wagers (The WoW) - Play in the World as You Do in Games.

The WoW is an online eSports platform built with Next.js, Flask, Firebase, Next-Auth, and Tailwind CSS, offering a seamless gaming experience. It features integrated Khalti and eSewa payment gateways for secure transactions. Players can create and join tournaments, competing for exciting prize pools. With real-time data, secure authentication, and a sleek UI, The WoW aims to be a go-to platform for competitive gaming.

|- Site is no Longer Active -|

Next.js Tailwind Firebase View Online
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Movie Mania - A site for movie review and more [BETA]

Movie Mania is built using Next.js, Next-Auth, MongoDB, Tailwind, and Flask. The site leverages the Page route of Next.js 14 and includes 7+ slugs, such as /search, /cast, and /director. Next-Auth handles user session management. The data is powered by Wikipedia, with a custom movie metadata scraper that extracts and prepares data from Wikipedia for display on Movie Mania. The site also features 3+ SSG slugs for dynamic content generation for SEO, with additional features to come.

Next.js Flask Web Scraping Tailwind MongoDB View Scraper
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DRK-Store - A Ecommerce store [BETA]

DRK-Store is developed using Next.js 14, Next-Auth, MongoDB, Tailwind, and Flask. The site utilizes the Page routing feature of Next.js, incorporating over 10 dynamic slugs such as /pro, /cat, and /search. Next-Auth is employed for efficient session management. The Flask server handles data requests from the client, retrieving information from MongoDB. Additionally, the site includes 2+ static pages generated with SSG (Static Site Generation) for SEO purposes. Advanced search functionality allows for sorting and filtering of products. An admin panel is available for administrators to update, add, or delete products. --| Currently, the site is in Test mode and contains random content for testing purposes |--.

Next.js Flask Tailwind MongoDB

Some projects i did during learning phase.

Simple Regx calculator

I made this while learning regular expression. I found regx awesome so i thought lets create something from this, so i build this project

Python Regx View Online

Tic Tac Toe Game using ML

I made this while learning ML using tensorflow. I build this to replace my friend's need while playing.

Python Regx View Online

Google Meet attendance tracker

While learning web-scraping from selenium i found it could be helpful to my teachers to track student attendance during online class. So i build this project but after learning more i found it's too easy to build chrome extension and to manupulate DOM element.

Python Selenium Web Scraping

Virtual Assistant

While learning python, I watched a tutorial about Virtual Assistant. So i build it using simple if-else statement and speech-recognition library, like for "play song" -> "os.startfile('.mp3')", i gave more than 100+ conditions and made it.

Python speech-recognition