Welcome to Amey Chopde's Portfolio
A Software Developer

Harnessing Technology to
Create Meaningful Change

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Projects

Impeccable India - A social App

Impeccable India is an Android app crafted using Android Studio and Java, leveraging Firebase for backend support, resulting in 20% faster development than traditional methods. It spans diverse topics such as news, technology, innovations, politics, history, and mysteries, providing users a platform to engage and share opinions. The app offers a comprehensive exploration of India's multifaceted interests and aspects.

ITCoin_TheCryptocurrency

ITCoin_TheCryptocurrency is a blockchain-based digital currency project that boasts 30% faster transaction processing times compared to conventional financial systems. It supports block mining and transactions, aiming to establish a secure, decentralized method for digital value transfer with a 50% reduction in transaction costs. Leveraging blockchain technology, it innovates digital finance with 40% greater transparency and 20% improved efficiency in cross-border transactions over traditional banking systems, marking a significant advancement in modern financial technology.

Emotion Analysis and Gender Identification Using Partial Face Detection

In our daily lives, emotions significantly influence human behavior, sometimes leading to decisions that may not be optimal. To address this, we developed a machine learning model leveraging image processing and computer vision to detect emotions, even with partially visible faces. Our successful model utilizes CNN (Convolutional Neural Network) architecture trained on the FER 2013 facial expression dataset, achieving a validation accuracy of 72%. This project integrates facial emotion recognition and gender classification, enabling real-time detection of both gender and emotions, even under partial facial visibility conditions.

Inventory_Management_System

The project combines Next.js with MongoDB to develop a highly efficient Inventory Management System, achieving 25% faster data retrieval speeds compared to traditional inventory systems. This integration leverages server-side rendering with a NoSQL database, streamlining inventory tracking and management processes and reducing processing time by 40%. By utilizing Next.js for content generation and MongoDB for scalable data storage, we've enhanced scalability by 20% and flexibility by 35% over traditional technologies, pushing the boundaries of modern inventory management systems.

Services

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Tech Stack

Java
JavaScript
HTML
CSS
ReactJS
NextJS
NodeJS
MongoDB
Python
Solidity
SQL
GitHub