AI/ML, Computer Vision, DLL Show Case
AI Empowering the Future.
Port Incident Detection Solution
Our AI-powered surveillance system enhances road safety, traffic management, and industrial compliance with advanced incident detection. It identifies over speeding, accidents, wrong turns, and illegal parking, providing real-time alerts. PPE compliance detection ensures worker safety, while water logging monitoring prevents traffic congestion. The system enforces red light violations via automated fine integration. Pedestrian safety monitoring detects people walking too close to moving vehicles, issuing instant alerts. With smart city dashboards, predictive analytics, IoT sensors this AI-driven system creates a safer, more efficient urban environment, reducing risks and improving response times.
LMS (Learning Management System)
LMS - A Pharmaceutical LMS for Medical Representatives (MRs) streamlines training, compliance, and product knowledge. It offers interactive modules, assessments, certification tracking, and real-time updates on drugs, regulations, and sales strategies. The system ensures consistent learning, regulatory adherence, and performance tracking, enhancing MR efficiency, sales impact, and customer engagement.
Audio
Speech sentiment analysis using AI/ML involves processing audio recordings to detect and interpret emotional tones, predicting sentiments such as neutral, angry, calm, happy, sad, fearful, disgust, and surprised. This involves using Natural Language Processing (NLP) for spoken content analysis and machine learning algorithms to classify these specific emotions, providing valuable insights for applications like customer service, market research, and social media monitoring.
NLP / GI
NLP Question and Answer (Q&A) systems using AI/ML involve creating models that can understand and respond to human language queries. These systems leverage natural language processing techniques to interpret the context and intent of questions, providing accurate and relevant answers from vast datasets. Applications include virtual assistants, customer support, and information retrieval systems.
Computer Vision
Computer Vision for face recognition and lip movement analysis using AI/ML involves detecting and identifying faces in images or videos and analyzing lip movements to understand speech or expressions. Advanced machine learning models are trained to recognize facial features and track lip motion, enabling applications in security, authentication, and silent speech interfaces. Demo
ML/DLL
Deep language learning, a machine learning subfield, is key for vehicle identification, classification, and traffic rule violation detection. It uses multi-layer neural networks to analyze large datasets, recognizing complex patterns in traffic images and videos. These models accurately identify vehicle types and detect violations like speeding and red light infractions, improving traffic management and law enforcement efficiency. By mimicking the human brain's structure, deep learning advances intelligent transportation systems, contributing to safer roads and effective traffic monitoring. Demo
Blockchain
Our innovative betting application leverages React and Blockchain technology to provide a secure and transparent platform for Ethereum-based betting. Users can create and join one-to-one or one-to-many bets seamlessly. Upon match completion, the admin resolves the bets, and results are displayed in the "Declared Bets" section. Winners have their earnings transferred to a "Pending to Withdrawal" wallet, from which they can easily withdraw to their main wallet. Losers forfeit their staked amounts. The platform ensures real-time updates and secure transactions through integration with Ethereum wallets and smart contracts, delivering a modern and trustworthy betting experience.
DocChat
DocChat is a telemedicine platform that lets in sufferers to have video consultations with healthcare specialists from the comfort of their personal houses. It gives a handy and steady manner for sufferers to get right of entry to medical advice, prognosis, and treatment plans with no need to go to a doctor's workplace in man or woman. By leveraging video era, DocChat enhances accessibility to healthcare services, making it less complicated for people to get hold of well timed hospital treatment, in particular in faraway or underserved regions.
Safety Kit Detection
Create a solution to detect the presence of safety kits in various environments, such as construction sites or industrial areas. This involves using image recognition technology to ensure compliance with safety regulations and promote workplace safety.
Vehicle Detection, Classification, and Counter
Develop a model that can detect, classify, and count vehicles in real-time from video feeds. This system can identify different types of vehicles and provide a count, supporting traffic management and urban planning initiatives.
Speed Tracker and Violation Detector
Build a tool to monitor vehicle speeds and detect speed limit violations. This system uses video analysis to track the speed of moving vehicles and identify instances where they exceed speed limits, enhancing road safety through automated enforcement.
U-turn Detector and Violation Detector
Implement a system to detect illegal U-turns and identify violations at intersections. This involves analyzing video feeds to monitor vehicle movements and ensure compliance with traffic rules, reducing the risk of accidents at critical points.
Accident Detection
Implement a deep learning model to automatically detect traffic accidents in video footage. This system can analyze real-time or recorded videos to identify potential accidents, helping to enhance road safety and prompt emergency response.