IT & Engineering Solutions
Software Development | AI Solutions | Mechanical Design (2D/3D) | Data Analysis | Search Engine Optimization
We are dedicated to delivering top-notch solutions across various industries. With our expertise in Software Development, Mechanical Design(2D/3D), AI & Data Analysis, and Search Engine Optimization we bring your visions to life with precision and creativity.
Our team is a diverse group of skilled professionals, united by a passion for innovation and a commitment to delivering high-quality solutions tailored to our clients' needs.
Management
We provide cutting-edge solutions in software development, AI-driven data analysis, SEO, and mechanical design to drive business innovation.
Choose us for our expertise, innovation, and commitment to delivering tailored solutions that meet your unique business needs.
Our clients praise our professionalism, innovation, and ability to deliver results that exceed expectations.
Our projects offer valuable insights and expert knowledge across various industries, including software development, data analysis, AI, SEO, and mechanical design
Engineering a state-of-the-art multiclass classification model utilizing a bespoke Convolutional Neural Network (CNN) architecture within TensorFlow to enable automated detection and classification of skin cancer. This project employs advanced deep learning methodologies, including sophisticated feature extraction and hierarchical neural network layers, to discern and differentiate Measles(Dadura) and other dermatological malignancies with high precision. By integrating cutting-edge image preprocessing techniques and model optimization strategies, the system aims to deliver a highly reliable diagnostic tool that supports dermatologists in early and accurate Measles(Dadura) detection, thereby significantly enhancing clinical decision-making and patient management through automated, real-time analysis.
Developing a cutting-edge gesture recognition system for smart TVs, leveraging advanced deep learning techniques to enable intuitive, hands-free control. This project involves designing and implementing a robust deep learning model to accurately identify and classify five distinct user gestures from real-time video feeds. Utilizing sophisticated neural network architectures, including convolutional layers for feature extraction and recurrent layers for temporal pattern recognition, the system aims to translate user gestures into TV commands, eliminating the need for a remote control. This innovative approach enhances user experience by providing seamless and interactive control, advancing the usability and functionality of smart home devices.
Developed an AI-driven system designed to analyze user-reported symptoms and provide potential diagnoses in real-time. Utilizing advanced NLP and ML models, the system identifies and classifies symptoms to suggest possible medical conditions, as well as recommend potential treatment options. This empowers users with reliable health information while also assisting doctors and researchers in identifying patterns, enhancing early symptom evaluation, and improving healthcare accessibility. The tool supports healthcare professionals by streamlining diagnosis and treatment decisions, ultimately contributing to more efficient patient care.
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Chandragiri 12, Kathmandu, Bagmati, Nepal