Portfolio Details
Project Information
- Category: Web & Mobile Application Development
- Client: Muthoot Institute of Technology & Science
- Project Duration: April 1, 2022 – June 30, 2025
- Projects URL: https://github.com/Angel2526
Project Overview
Plant Disease & Nutrient Deficiency Detection
Engineered a Streamlit web app for seamless image uploads and detection of plant diseases or nutrient deficiencies. Integrated a high-accuracy CNN model with interactive UI elements to enhance user experience and streamline the diagnostic process.
Image Recreation from Brain Waves
Developed a Streamlit-based application to generate images from EEG signals using deep learning techniques. Utilized contrastive learning for robust EEG feature extraction and integrated a DCGAN to generate high-fidelity images, demonstrating advanced generative modeling capabilities.
College-Linktree
Designed a user-friendly Linktree-style website for the college using HTML, CSS, and Bootstrap, providing centralized access to media pages, contact details, clubs, and departmental websites.
Ecommerce Sales Dashboard
Engineered an interactive Power BI dashboard featuring complex filters, custom visualizations, and dynamic data connections for comprehensive online sales analysis. Improved data-driven decision-making by enabling stakeholders to explore KPIs, track performance, and uncover sales trends with ease.
Sales Buddy Lite
Created a cross-platform mobile application using Flutter and Dart to streamline lead capturing and sales tracking for field agents. Implemented features such as real-time lead entry, follow-up tracking, and local data storage to enhance offline usability and improve field productivity.
MDRO Prediction Tool
Developed a web application using Python, HTML, and CSS to predict antibiotic resistance based on patient information such as comorbidities, device usage, and prior antibiotic exposure. Integrated a machine learning model to assist healthcare professionals in identifying potential multidrug-resistant organisms and making informed treatment decisions.
Key Features
Cross-Platform Design
Built with responsive and mobile-friendly layouts, ensuring seamless performance across devices and platforms.
Intelligent Functionality
Incorporates smart algorithms or ML models to automate tasks, enhance predictions, or streamline decision-making processes.
Optimized Performance
Delivers fast load times and real-time interactions through optimized code and efficient data handling.
User-Friendly Interface
Provides an intuitive, easy-to-use UI that ensures smooth navigation and usability for both technical and non-technical users.