ON GOING PROJECTS
Our team has been working on Artificial Intelligence and Machine Learning based Systems/Projects.
In majority of our products, we have applied several Artificial intelligence (AI), machine learning and deep learning algorithms to develop different rules engines, expert systems and knowledge graphs. We have used Machine learning approaches to predict the health of the vehicles (drones). Additionally, we have applied AI-based and Neural network mechanisms to predict the disaster situation based on large number of input parameters. Since Pakistan’s economy immensely relies on the export of fruits and vegetables, detection and taxonomy of various plants diseases is crucial, and it demands utmost attention. We are developing a system that concerns the detection and classification of various plants diseases utilizing correlation coefficient and deep features. An analysis of the results has shown that the proposed methodology outperforms several existing methods in terms of precision and classification accuracy.
Some of our products in working condition are shown here. Click the corresponding project to see the detiled description.
"Contemplating on the importance of early diagnosis of skin cancer, particularly, melanoma, in this work1 we propose a novel machine-learning based framework for skin lesion classification. The simulation results show an accuracy exceeding 97%, and that by utilizing less than 3% features."
"Machine Learning – especially Profound Learning developments – have as of late made gigantic progresses in consequently diagnosing infections, making diagnostics less costly and more accessible to consumers."
"Computer vision techniques have been used to forecast the weather using increasingly expanding weather data sets. This Solution is also deployed and is providing an effective role in decision making”
"Modern technologies in Machine learning and Computer vision have been applied to detect the diseases on the plants. Here, wireless communication mechanisms have been used along with the AI.”