Projects

Developing speaker verification and speaker diarization technologies for real world applications

A Speaker verification system is to take all the information contained in a speaker's voice to recognize their identity.

Drowsiness Detection of Drivers in Vehicles using Deep Learning Approaches

Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety.

Electricity Load/demand Forecasting in Sri Lanka using Deep Learning Techniques

Most of the time electricity cannot be stored, it should be generated as soon as it is demanded.

Solar Irradiance Forecasting using Deep Learning Approaches

The need of solar irradiation forecast at a specific location over long-time horizons has attained massive importance.

Weed Classification System

Any plant in the field other than his crop is defined as weed. As weeds utilize the land and water resources, it adversely affects crop production and human welfare.

Plant Disease Identification System

Disease in the agricultural crops affects the yields. Early identification of the disease in the crops is important for crop protection.

STEPS

Our Process

Our Process - MLSP
Steps

Our Process

a.

PLAN

Architecting specific milestones, analyzing constraints, and refining user goals.

b.

DESIGN

Drafting interactive wireframes, custom system components, and clean visuals.

c.

BUILD

Engineering stable deployment packages, training systems, and writing unit tests.

d.

SUPPORT

Continuous monitoring, optimization reviews, and agile scaling management.

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Our Clients

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