DTOOLS AI is a leading provider of intelligent digital solutions, specializing in AI, machine learning, web development, and automation. We help businesses innovate, scale, and stay ahead in the digital age.
An AI system that simulates conversations with a passed loved one using uploaded videos, letters, and audio to create meaningful, personalized interactions and lasting memories.
AI tool that analyzes pupil movement and eye-gaze data to detect psychological and emotional states, aiding in non-invasive mental health assessment and behavioral insights.
Developed a facial recognition system for accurate real-time identification and verification, using advanced algorithms to ensure security, reliability, and speed across various platforms
Machine learning model built to forecast disease progression in pulmonary fibrosis patients using historical clinical data to support early diagnosis and treatment planning.
AI system using facial expressions and computer vision to detect human emotions in real-time, improving applications in human-computer interaction and user behavior analysis.
Created an NLP-based chatbot to handle customer queries, offer instant support, and improve user experience through automated, intelligent responses and efficient issue resolution.
Developed predictive models across healthcare, finance, and marketing to identify patterns, trends, and outcomes from historical data, helping businesses make smarter, data-driven decisions.
Built a machine learning system to detect irregularities in network traffic, improving cybersecurity by identifying threats like intrusions, DDoS attacks, and unauthorized access.
An AI-powered chatbot designed to offer mental health support through empathetic conversations, using NLP to guide users and respond to emotional cues in real-time.
Chatbot system developed to categorize emails, automate replies, and prioritize inbox content using natural language processing for better email management and productivity.
Machine learning model that recommends colleges based on user preferences like budget, location, and course options by analyzing student data and institutional statistics.
