ALL PROJECTS
Discover the systems, websites, and applications we’ve engineered
each project crafted with precision, innovation, and a commitment to excellence.
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12 projects found
AI Language Translation & Text-to-Speech
A web-based AI Translation and Text-to-Speech application developed using Python Flask, Deep Translator (Google Translator API), and gTTS. The system automatically detects the source language, translates text into multiple target languages, and converts the translated text into natural-sounding speech. It features a clean and responsive interface built with HTML, CSS, and Tailwind CSS, supporting real-time translation, audio playback, and efficient file handling, making it suitable for education, accessibility tools, and multilingual communication platforms.
AI Sentiment Analysis
A web-based Sentiment Analysis application developed using Python Flask and TextBlob, with a modern front-end built using HTML, CSS, and Tailwind CSS. The system analyzes user-entered text and determines the sentiment (Positive, Negative, or Neutral) in real time. It provides instant visual feedback using color-coded results and emojis, featuring a simple, responsive, and user-friendly interface suitable for social media analysis, customer feedback evaluation, and text emotion detection.
Stock Management System
A comprehensive **ERP-based Stock Management System** developed using **ASP.NET MVC** and **Entity Framework**, with **HTML, CSS, and Tailwind CSS**. The system enables integrated management of products, warehouses, categories, suppliers, and customers, while tracking stock movements such as additions, transfers, consumption, and write-offs. It supports invoice generation, purchase orders, quantity management, and reorder points, providing core ERP functionality through a modern, user-friendly interface and insightful reports that assist in effective decision-making.
Spam Detector AI
A machine learning-powered web application that detects spam messages in real time. It uses a Naive Bayes model with CountVectorizer to classify text as spam or safe. Users can input messages to get instant analysis, complete with confidence levels, visual feedback, and an intuitive Tailwind CSS interface. Ideal for demonstrating NLP, AI, and web development skills.
AI-Powered Movie Recommender System
A web application that provides personalized movie recommendations based on plot similarity using TF-IDF vectorization and cosine similarity. Users can search for any movie and instantly receive the top 5 recommendations along with overviews and average ratings. Built with Python (Flask), Pandas, and Scikit-Learn for backend intelligence, and Tailwind CSS for a modern, responsive frontend. Ideal for learning, demo, or portfolio purposes.
Real-Time Hand Tracking & Finger Counting System
This project is a real-time computer vision web application built using Flask, OpenCV, and MediaPipe. It uses MediaPipe’s advanced hand-tracking model to detect hands from a live webcam stream and accurately count the number of raised fingers. The system continuously processes video frames, identifies hand landmarks, determines whether each finger is raised, and sends the total count to the frontend through a lightweight JSON API. The interface displays the live camera feed along with dynamic finger-count updates, enabling responsive real-time interaction. This project demonstrates practical skills in computer vision, real-time video streaming, backend API development, and integrated Flask-based web application design.
AI-Powered Medical Image Diagnosis System
This project is a full-stack AI medical diagnostic system built with Flask, TensorFlow/Keras, NumPy, OpenCV, and Scikit-Learn, featuring a modern frontend using HTML, CSS, Tailwind CSS, and JavaScript. It uses six deep-learning models to detect and classify various medical conditions, including brain tumors, heart arrhythmia, breast cancer, diabetic retinopathy, osteoporosis, and skin cancer. Users can upload medical images, which the system preprocesses and analyzes to provide disease predictions along with confidence levels. Overall, the system delivers fast and accurate automated medical image analysis, demonstrating strong skills in deep learning, computer vision, and full-stack development.
Honey Web Application
A Basic Honey Web Application that showcases premium honey varieties, organic jars, and related bee products to customers. It empowers administrators to manage the product catalog, update pricing, and monitor sales, while enabling customers to browse the selection, manage a shopping cart, and securely place orders. The system provides a dual-interface experience—offering a user-friendly storefront for purchasing honey and a dedicated dashboard for managing inventory and reviewing customer feedback.
Pet Care Web Application
A Pet Care Web Application that combines online shopping and pet clinic services in one system. It manages users, pets, appointments, medical records, grooming, products, and orders. Pet owners can book vet or grooming sessions, buy pet supplies, and track their pets’ records, while staff handle scheduling, services, and inventory — all from one connected platform.
Real Estate Web Application
A Real Estate Web Application that connects clients, agents, and admins in one platform. It manages property listings, sales, rentals, viewings, and transactions. Users can browse or save properties, send inquiries, and book viewings, while agents list and manage properties. The system also supports reviews, blogs, and transaction tracking — providing a complete real estate marketplace with both customer and admin views.
Books Store Web Application
A web-based application that manages book sales and borrowing. It handles users, books, orders, feedback, and inventory — allowing customers to buy or rent books, leave reviews, and track orders, while administrators oversee stock, sales, and borrowing activity through a dedicated dashboard.
School Web Application
A School Management Web Application that connects administrators, teachers, and students on one platform. It manages student enrollment, class associations, subjects, and grading. Administrators have full control over the system, teachers can add and manage student marks, and students can only view their grades, subjects, and class details — providing a centralized and efficient digital school environment.
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