The “Real-Time Face Mask Detection System” addresses the imperative need for enforcing face mask usage in indoor locations. Manual checks are impractical and risky. This innovative system employs real-time image recognition, distinguishing masked and unmasked faces with high accuracy. It operates in real time, conserving resources and ensuring immediate compliance. This technology reinforces safety measures in public spaces, enhancing overall public health. By providing swift, reliable feedback, it plays a crucial role in promoting and enforcing face mask regulations in indoor settings, safeguarding lives and operational efficiency.

• Face Mask Detection
• Real-Time Image Recognition

The AI Virtual Mouse is an innovative leap in HCI technology, replacing traditional mice, batteries, and dongles. Utilizing computer vision and machine learning, it interprets hand gestures and tip movements through webcams or built-in cameras. This system enables users to execute computer functions like left-click, right-click, scrolling, and cursor control without physical input devices. Powered by deep learning for precise hand detection, it’s not only cutting-edge but also addresses health concerns by reducing device dependency, minimizing physical touchpoints, and mitigating the spread of diseases such as COVID-19.

• AI Virtual Mouse
• HCI Innovation

Customer churn analysis and prediction in the telecom sector is an issue nowadays because it’s very important for telecommunication industries to analyze behavior’s of various customers to predict which customers are about to leave the subscription from telecom companies. So machine learning techniques and algorithms play an important role for companies in today’s commercial conditions because gaining a new customer’s cost is more than retaining the existing ones. This project focuses on various machine learning techniques for predicting customer churn through which we can build the classification models such as Logistic Regression, Random Forest and lazy learning and also compare the performance of these models.

• Customer Churn
• Logistic Regression
• Random Forest

 Credit card fraud is a serious criminal offense. It costs individuals and financial institutions billions of dollars annually. According to the reports of the Federal Trade Commission (FTC), a consumer protection agency, the number of theft reports doubled in the last two years. It makes the detection and prevention of fraudulent activities critically important to financial institutions. Machine learning algorithms provide a proactive mechanism to prevent credit card fraud with acceptable accuracy. In this paper Machine Learning algorithms such as Logistic Regression, Naïve Bayes, Random Forest, K- Nearest Neighbor, Gradient Boosting, Support Vector Machine, and Neural Network algorithms are implemented for detection of fraudulent transactions. A comparative analysis of these algorithms is performed to identify an optimal solution.

• Credit Card Fraud Detection
• Machine Learning Algorithms

This project aims to automate Jewellery Management, enhancing record-keeping, report generation, and billing efficiency. Traditional manual methods are replaced with accurate computerized systems, storing jewellery, customer, employee, and pricing data in a database, streamlining purchases and rapid report generation.

Module Description

• Database Integration
• Jewellery Management

Many vehicle owners hire experienced drivers for comfort on long rides via the Android-based Driver Booking app. Users and drivers register, share info, track rides, and provide ratings for a user-friendly experience. The system lists skilled drivers for users’ specific needs, allowing cancellations with refunds if necessary. This app eases the process of finding drivers, providing support for all kinds of travel needs, including emergencies.

Module Description

• Android Ride-App
• Driver Booking

Today, the growing technology and infrastructure have simplified our lives but also increased road accidents due to traffic hazards. Lack of emergency facilities can lead to tragic outcomes, like the recent incident in Kollam and Trivandrum. Our project aims to address this issue by creating a web portal that provides crucial information about nearby hospitals and their facilities, enabling users to make informed decisions during emergencies, ultimately saving valuable time and lives.

• Life-saving Technology
• Web Portal

The Blind e-commerce app is a groundbreaking mobile application designed to empower visually impaired individuals by facilitating independent online grocery shopping. Leveraging text-to-speech and voice recognition technologies, the app offers a user-friendly interface for streamlined product search, easy navigation, secure payments, and order tracking. By eliminating the need for external assistance, this app has the potential to significantly enhance the quality of life and independence of visually impaired users, revolutionizing their shopping experience and daily tasks.

• E-Commerce
• Text-to-Speech Technology

In the current complex legal landscape, the Law System Project bridges the gap between individuals and the legal system, offering easily accessible and comprehensible legal guidance. By incorporating the Indian Penal Code (IPC) and Civil sections into a comprehensive database, the project equips users with vital information to navigate the legal system. Users can also report incidents, providing details like time, date, location, and involved parties, streamlining the process of seeking justice. This user-friendly platform empowers individuals to make informed decisions and take charge of their legal matters, contributing to a more just and equitable society where legal guidance is accessible to all.

• LegalTech
• Online Legal Resources

The Tech News App is a specialized Android platform offering the latest technology news, insights, and analysis. Tailored for tech enthusiasts and professionals, it covers a wide range of topics, including smartphones, software, artificial intelligence, and more. Unlike general news apps, it delivers a focused tech news experience. Admin oversight ensures content accuracy and relevance. Users enjoy personalized news feeds, fostering a sense of community. In a rapidly evolving tech landscape, the Tech News App is the essential tool to stay updated. With its niche focus, content control, and community engagement, it remains a reliable source for the latest in tech.

• Tech News App
• Technology News