surajkarki66
|| Computer Engineer || Artificial Intelligence || Machine Learning || Computer Vision || Software Development || Linux ||
OmdenaChitwan, Nepal
Pinned Repositories
Generative_AI_for_Computer_Vision
Welcome to the repository dedicated to exploring Generative Artificial Intelligence (AI) techniques in Computer Vision. This repository serves as a centralized hub for various projects, research, and resources related to generating visual content using AI models.
Image-Classification-Deep-Learning
I this repository i am gonna walk you through an evolution of image classification algorithms in deep learning.
Lucy-Backend
This is an end-to-end implementation of deep learning. The Lucy is a web-based chatbot, which gives you information about Nepal Engineering College from where I graduated and this was my second minor college project.
MediLeaf_AI
Medileaf is an application whose motive is to help the individual to identify medicinal plant with their properties by just scanning the leaf of any plant which might result creating curiosity about plant that lead to the preservation of the valuable plants as well as source of income.
Object-Detection-Deep-Learning
In this repository i am gonna walk you through an evolution of object detection algorithms in deep learning.
Omdena_Sri_Lanka_Predicting_Dengue_Fever_Outbreak
As part of an Omdena project, I contributed to developing an AI-driven system to predict dengue fever outbreaks in Sri Lanka. By applying time series analysis and machine learning techniques, the project aimed to enhance early warning capabilities, enabling more efficient public health responses and potentially saving lives.
real-time-groupchat-app
Chitchat is a real-time group chat web application built using HTML, CSS, JavaScript and Socket.io. This facilitates user to create room or join the existing room, where they can communicate with other users using messages.
shortIT
A full stack web application written in TypeScript with a Node/Express Server along with React & MongoDB database (MERN). Users are able to paste long URL's into the form provided and are able to input a custom URL if they want to!. You are then provided with an easy to use, customizable short URL you can share with whoever you like.
smart-document-scanner
This is a document scanner web application along with the feature of optical character recognition aka. image to text conversion, built using Flask.
sms-spam-detection-BERT
MS spam detection app, powered by Hugging Face's BERT model and deployed on Streamlit, offers users a simple yet powerful solution to identify spam messages in their SMS inbox. Through an intuitive user interface, users can input text messages for analysis. The app preprocesses the text, applies the BERT model trained on a SMS spam collection.
surajkarki66's Repositories
surajkarki66/MediLeaf_AI
Medileaf is an application whose motive is to help the individual to identify medicinal plant with their properties by just scanning the leaf of any plant which might result creating curiosity about plant that lead to the preservation of the valuable plants as well as source of income.
surajkarki66/Generative_AI_for_Computer_Vision
Welcome to the repository dedicated to exploring Generative Artificial Intelligence (AI) techniques in Computer Vision. This repository serves as a centralized hub for various projects, research, and resources related to generating visual content using AI models.
surajkarki66/Generative_AI_for_NLP
Welcome to the repository dedicated to exploring Generative Artificial Intelligence (AI) techniques in the field of Natural Language Processing (NLP). This repository serves as a central hub for various research, and works related to generating and understanding human-like text using AI models.
surajkarki66/MediLeaf_backend
This is a repository that contains production ready code of admin dashboard and knowledge base of MediLeaf.
surajkarki66/Omdena_Sri_Lanka_Predicting_Dengue_Fever_Outbreak
As part of an Omdena project, I contributed to developing an AI-driven system to predict dengue fever outbreaks in Sri Lanka. By applying time series analysis and machine learning techniques, the project aimed to enhance early warning capabilities, enabling more efficient public health responses and potentially saving lives.
surajkarki66/surajkarki66
This is my portfolio.
surajkarki66/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
surajkarki66/car_price_prediction_fastapi
This is end to end machine learning project that deals the problem of predicting the price of car based on the input features of car and other parameters. The sk-learn model is deployed using the fastapi library.
surajkarki66/ConnectCam-app
A video conference app using Next.js
surajkarki66/ConnectCam-server
This repository resembles the signaling server which is used to run the ConnectCam app.
surajkarki66/Dotfiles
These are my all configuration files of Arch Linux which also contains configurations for Hyprland (Wayland) window manager. The dotfiles are tested with Arch Linux only.
surajkarki66/Exploratory-Data-Analysis--Data-Science
surajkarki66/FastAPI-Backend-Template
A backend project template with FastAPI, PostgreSQL with asynchronous SQLAlchemy 2.0, Alembic for asynchronous database migration, and Docker.
surajkarki66/fastapi-ml-skeleton
FastAPI Skeleton App to serve machine learning models production-ready.
surajkarki66/fine-tune-LLMs
This is a repository that contains all the practice codes and notebooks written during the implementation of different techniques to fine-tune LLMs.
surajkarki66/instantid-headshot
surajkarki66/Lucy-Frontend
Front-end code for a NLP Powered Chatbot (3rd year project) written in Javascript using React library. You can access the chatbot using this web interface. Note: Firstly, you have to ensure that Lucy backend server is up and running in your machine.
surajkarki66/Near_Earth_Objects_Danger_Risk_Prediction
This project focuses on predicting whether a Near-Earth Object (NEO) poses a potential hazard based on various characteristics. Given the increasing concerns about NEOs and their potential impact, the goal is to leverage machine learning to classify them as hazardous or non-hazardous. The dataset spans observations of NEOs recorded.
surajkarki66/Nvidia-RAG-application
This respository contains how can we make a full fledged RAG application using resources provided by Nvidia. all m
surajkarki66/object-tracking-machine-learning
This repository demonstrates how the machine learning can be used in order to perform object tracking and motion detection.
surajkarki66/opencv-bootcamp
surajkarki66/PRODIGY_ML_01
Implemented a linear regression model to predict the prices of houses based on their square footage and the number of bedrooms and bathrooms.
surajkarki66/PRODIGY_ML_02
Create a K-means clustering algorithm to group customers of a retail store based on their purchase history.
surajkarki66/PRODIGY_ML_03
Implement a support vector machine (SVM) to classify images of cats and dogs from the Kaggle dataset.
surajkarki66/real-time-groupchat-app
Chitchat is a real-time group chat web application built using HTML, CSS, JavaScript and Socket.io. This facilitates user to create room or join the existing room, where they can communicate with other users using messages.
surajkarki66/recommendation-systems-learning
Recommendation system learnings
surajkarki66/smart-document-scanner
This is a document scanner web application along with the feature of optical character recognition aka. image to text conversion, built using Flask.
surajkarki66/WebRTC_demo
surajkarki66/data-analytics-essential
surajkarki66/learning
A log of things I'm learning