Avishake Adhikary's Projects
3D Portfolio Created Using Vanilla JS and THREE JS. Created using Codesandbox.
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.
Face Recognition Flutter: Pre-trained MobileFaceNet model, real-time recognition of faces using Flutter and TensorFlowLite.
Robots Random Name and Email Generator Using ReactJS. Created with CodeSandbox.
Health Application: For prediction of health through basic health inputs and static BMI graph using ReactJS.
Medical Services Android Application For Connecting People Together.
This app is a portfolio application completely developed in flutter framework and can be deployed to Android and iOS after building the complete application.
Implementing neural networks from scratch for a deeper understanding of concepts, featuring a Jupyter notebook with derivative-based implementations.
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.
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: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
Realtime Sign Language Application that detects signs based on object detection model.
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.