`Design and develop a Linux based application with an embedded system product as a cognitive ability assessment tool to measure and evaluate Knowledge IQ, Reasoning IQ, Mental Chronometry (processing speed) and Attention Span of Sri Lankan Sinhala children between ages 7 to 9 years.`
**Main research question :**
```
A comprehensive cognitive examination of children is not conducted in Sri Lanka.
One cause for that is the lack of a culturally appropriate tool that can be used in the local languages.
The high commercial expenses associated with globally recognized cognitive assessment tools is the second factor.
So, Sri Lanka needs to develop an automated and validated instrument to measure the construct understudy.
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**Individual research question :**
1. IT19105208 - Kahawanugoda M.A.I.
1. IT19105826 - Meegoda M.N.D.
1. IT19170480 - Monarawila C.H.M.R.P.K.
1. IT19091044 - Gnanarathna E.D.K.V.
**Individual Objectives :**
1. IT19105208 - Kahawanugoda M.A.I.
Design and develop machine learning models that involve automatic speech recognition and contextual analysis to get Sri Lankan Sinhala speaking children’s verbal responses for a pre-defined set of questions to calculate their Reasoning IQ capabilities.
* Develop a speech recognition model for children between age seven and nine to identify their verbal responses for specified set of questions
* Develop Contextual analysis system to analyze ASR output
2. IT19105826 - Meegoda M.N.D
Design and develop an appearance-based methodology with a multimodal convolutional neural network to evaluate the attention span with eye gaze estimation and head pose estimation
3. IT19170480 - Monarawila C.H.M.R.P.K
Design and develop a model which involves automatically drawn shapes and Sinhala digit recognition and analyzing with measuring completion time of each activity to analyze Sri Lankan aged 7-9 children's responses to scale their mental chronometry (processing speed) IQ capabilities.
4. IT19091044 - Gnanarathna E.D.K.V
Design and develop machine learning models that involve Automatic speech recognition with Pattern Matching of Transcripts and Error Analysis of verbal response, to assess and identify a detailed overview of Knowledge IQ of Sinhala speaking Sri Lankan Children between the ages 7-9.
**Other necessary information :**
* Target group: age 7-9 years Sinhala speaking Sri-Lankan children.
