3d-portfolio

3D Portfolio Created Using Vanilla JS and THREE JS. Created using Codesandbox.

ai-job-assistant-chatapp

AI Job Assistant Chat App: A Flask-based chat application utilizing OpenAI's Assistants API to create custom GPT-4-powered assistants, designed to aid both job seekers and recruiters in a conversational interface.

avishakeadhikary

facerecognitionflutter

Face Recognition Flutter: Pre-trained MobileFaceNet model, real-time recognition of faces using Flutter and TensorFlowLite.

firstreactrobotgenerator

Robots Random Name and Email Generator Using ReactJS. Created with CodeSandbox.

healthapp

Health Application: For prediction of health through basic health inputs and static BMI graph using ReactJS.

medityourself

Medical Services Android Application For Connecting People Together.

my_flutter_card

This app is a portfolio application completely developed in flutter framework and can be deployed to Android and iOS after building the complete application.

neural-networks-from-scratch

Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.

os-portfolio

OS Portfolio is a customizable portfolio template built with Vue.js. It provides a desktop-like interface for showcasing your applications and organizing them in a visually appealing manner.

python-code-generator

A pre-trained language model to generate code based on user input. It prompts the user to enter a prompt, tokenizes the input, and generates a sequence of tokens based on the input using a pre-trained model. The generated sequence is then decoded and printed to the console.

realtime-sign-language-detection-using-lstm-model

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

realtime-sign-language-detection-using-react.js

Realtime Sign Language Application that detects signs based on object detection model.

text-to-image-generator

Python GUI application that generates images based on user prompts using the StableDiffusionPipeline model from the diffusers module. The application allows users to enter a prompt, click a button to generate an image based on the prompt, and view the generated image in the GUI window.