👋 Hello, I'm Abhishek Mishra

🚀 Versatile Developer | Open-Source Contributor | Tech Explorer

🌱 Proficient in Web, Android, Cloud, and more 💻 Committed to crafting secure, captivating user experiences across platforms 🔍 Always pushing technological boundaries and embracing continuous learning

🎯 Career Objective

Highly motivated developer with expertise spanning web, mobile, and cloud technologies. Seeking challenging roles to leverage and expand my diverse skill set in Angular, Flutter, React, Python, Java, and cloud platforms. As an active open-source contributor, I thrive in collaborative environments and am dedicated to continuous learning and innovation.

🛠️ Tech Stack

📊 GitHub Stats

🌐 Connect with me

💡 Always open to collaborating on projects and innovative ideas. Let's connect and create something amazing together!

Abhishek Mishra's Projects

asl_detector

This project aims to develop an efficient solution for detecting signs in the form of American Sign Language (ASL) using various cutting-edge technologies. The application will leverage the capabilities of OpenCV, MediaPipe, PyTorch, Transformers, PyTTSX3 and PyQt.5

auto-writer

Auto Writer automates text writing with a Tkinter-based server GUI and FastAPI-powered API. It supports async operations, real-time logging, and remote control. The client uses ReactJS and Vite for seamless server interaction, offering pause, resume, and stop functionalities, ideal for automated text input tasks.

chatbot

AI Chatbot answers students' queries about their college program using Natural Language Processing. It's built with Python's TensorFlow, FastAPI, Uvicorn, React, and Tailwind CSS. The frontend has a modern interface while the backend provides fast and efficient request handling. The chatbot can be customized for specific college requirements

flower_image_classification

Flower Image Classification project using convolutional neural networks (CNN) in TensorFlow. The trained model can classify flower images into 5 categories with high accuracy. GUI application built using tkinter to demonstrate the model's prediction capabilities.

imageeditor

A Simple Python Gui Application Using Tkinter For Apply Different Filters on Image

ml-titanic-survival-prediction

Using Machine Learning Titanic Survival Prediction with sklearn

prasar

Prasar is a robust, type-safe event handling framework for Python. Supporting both sync and async events, it offers strong type checking and custom colored logging. With an easy-to-use API for binding and emitting events, comprehensive error handling, and Python 3.7+ compatibility, Prasar simplifies event-driven programming.

Recommend Projects