Discover What We're Building: Ongoing Projects & Bold Ideas at DCT

DCT Ongoing Projects

Front-End Development

We are currently designing and developing the frontend website for Zeno Heal, a cutting-edge healthcare startup. Our team at DCT is crafting an intuitive, responsive, and visually engaging interface that aligns with Zeno Heal’s mission of delivering modern healing solutions. This project focuses on user experience, seamless navigation, and clear communication of Zeno Heal’s services and values. By blending creativity with functionality, we aim to create a powerful digital presence that supports their growth and connects effectively with patients and partners.

75%

Drowsiness Detection

As part of our collaboration with Zeno Heal, we are also developing an advanced drowsiness detection system using AI and computer vision technologies. This ongoing project focuses on enhancing safety by monitoring facial cues, eye movement, and head positioning to accurately detect signs of fatigue or drowsiness in real-time. The system is being designed to integrate seamlessly into healthcare and transportation settings, helping prevent accidents and promote well-being. At DCT, we’re committed to building intelligent solutions that make everyday environments safer and more responsive through innovation.

55%

AI Enabled Survillance System

We are independently developing an advanced AI-Enabled Surveillance System aimed at redefining real-time monitoring and security intelligence. This system leverages cutting-edge computer vision and machine learning algorithms to detect unusual activities, recognize faces, and track movements with high accuracy. Designed to adapt across various environments—such as public spaces, corporate offices, and restricted areas—our solution ensures proactive threat detection and enhanced situational awareness. At DCT, we are building this surveillance platform from the ground up to offer smart, scalable, and reliable security infrastructure powered by artificial intelligence.

45%

Aurtho Dentic

At DCT, we are developing Aurtho Dentic, an AI-powered orthodontic assistance platform designed to revolutionize dental diagnostics and treatment planning. This intelligent system utilizes deep learning models to analyze dental scans, identify alignment issues, and suggest optimized orthodontic solutions. Our aim is to assist dental professionals with accurate assessments, reduce diagnosis time, and enhance patient care outcomes. By combining innovation in AI with domain expertise in dentistry, Aurtho Dentic is set to become a game-changer in modern orthodontic practices.

62%

Stock Market Indicator

At DCT, we are building an advanced Stock Market Indicator system powered by AI and real-time data analytics. This project aims to help investors and traders make informed decisions by analyzing historical trends, technical indicators, and market sentiment. Our system identifies key buy/sell signals, trend reversals, and momentum shifts using machine learning models. By providing predictive insights and intuitive visualizations, the Stock Market Indicator enhances strategic planning and supports smarter investment choices in volatile financial markets.

100%

Project Ideas

Predictive Health Analytics

Develop a machine learning model that uses patient health records (e.g., EHR data) to predict the onset of chronic diseases like diabetes, hypertension, or cardiovascular disorders. Integrate natural language processing (NLP) to analyze doctor notes and patient history. Include a risk scoring system and visualization dashboard for doctors to flag high-risk individuals early.

Intelligent Tutoring

Create a web-based learning platform that adapts educational content based on a student’s performance and learning style. Use reinforcement learning to suggest the next best topic, question difficulty, and content type (video, text, quiz). Incorporate NLP to provide real-time tutoring assistance and doubt resolution.

Smart Manufacturing

Design an AI system for smart factories that uses sensor data from machines to predict equipment failures and schedule maintenance proactively. Integrate a digital twin model to simulate production environments and optimize resource allocation, energy consumption, and production efficiency across the innovation ecosystem.

Smart Transport

Develop an AI-based dashboard that aggregates traffic, GPS, and air quality sensor data to optimize urban transport routes. Use ML models to recommend alternate routes that reduce congestion and emissions. Include real-time pollution tracking, carbon footprint estimates, and public transport optimization suggestions.

Environmental Monitoring

Build a system that uses satellite imagery and weather data to monitor environmental parameters like temperature, rainfall, deforestation, and water levels. Use deep learning models to simulate and predict extreme weather events (floods, droughts). Provide early warnings and visual climate risk heatmaps for vulnerable regions.

Precision Agriculture

Develop a mobile/web application that integrates satellite imagery, IoT sensor data (soil moisture, pH), and weather forecasts to help farmers make data-driven decisions. Use ML algorithms to predict crop yields, suggest optimal sowing/harvest times, and recommend fertilizer and irrigation strategies to maximize productivity.

Autonomous Drone Navigation System

Build an intelligent drone that uses a combination of computer vision, deep reinforcement learning, and SLAM (Simultaneous Localization and Mapping) to autonomously navigate through dynamic and complex environments. The system would be capable of recognizing and avoiding obstacles in real-time, identifying landing zones, and even carrying out missions such as surveillance, delivery, or environmental monitoring

AI-Based Legal Document Analyzer

Create an AI tool that processes legal documents using Natural Language Processing (NLP) and semantic analysis to identify important clauses, flag risks, and recommend improvements. It can compare similar contracts, extract key legal terms, ensure compliance with regulations, and summarize documents for quicker understanding. This can significantly reduce legal review time for law firms, businesses, and individuals by automating repetitive and complex legal work.

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