Lexisbeaucoup.com, a platform to connect and heal

－To provide a transformative experience on speech, behaviour and mental analysis via advanced tech tools, to improve the learners' literacy and social ability in the long run.

－To alleviate a public health risk on mental health deterioration among children who have had developmental delay during or after the pandemic 

－To analyse learning ability as an individualised approach of assessment tool that can assist learning at home or at school.

A platform that provides speech and behaviour analysis to children's learning patterns. This is a platform connects with speech and behaviour therapists to analyse and detect their emotions and social skills as an early intervention.

For the initial screening or basic assessment of children/underserved children/children with symptoms, the solution provides a virtual consultation or a filmed analysis as their initial contact with the clients. The solution can provide early intervention regardless of the locations and the receiver's end financial status. Or solely an assessment tool to evaluate children's literacy and behaviour levels. Therapy demo

Platform-based solution with individual digital reports for children can help efficient follow-ups every time. It can help schools digitalise the learners' reports with comprehensive understanding towards literacy, behaviour and social skills.

Due to the combined modes of different kinds of technology, a merge of speech recognition and facial detection tool to offer help for children's literacy levels and the study of behavioural patterns. A blend of various concerns about the solution with the problems that are raised in the global data in Southeast Asian regions.

Funds and tech progression in a long run. The project now is seeking more funds to grow and passed through the prototype stage to pilot. With more effective researches, it requires more funds to build and growth with tech progression and precision in a long run. 

It is  an online pre-screening assessment tool for children and underserved children to identify their symptoms of speech and behavioural problems with the connection of speech therapist, health specialist and school workers. A digital report based on the analytical data to signify the target groups’ literacy levels and behavioural symptoms and we are able to improve the children's speech and behaviour problems with a consistent follow-up digital report.

To bring positive impacts by 

1.Enabling  donations from rich countries to assist low income families in Southeast Asia and provide more resources to the disadvantaged groups. 

2. Literacy programme in curriculum across different low-income families can be varied. Therefore, there can be assessments related to the current literacy of the child analysing through a filmed audio. AI helps analyse their performance of the student with a converted text and classify their grades on speaking levels and suggested readers to improve their literacy.

3. Behaviour analysis for detecting irregularities in their learning patterns and mood. With a filmed video of how children interact in a PLAY therapy can help identify children who have attention and behavioural problems at an earlier stage.

This solutions can definitely be disruptive to the existing markets, providing face-to-face service on improving literacy, behaviour problems and social ability training since it can be a more repeated process to provide effective pre-assessment before any learning to be taken. 

Within 3 years, a more responsive and interactive platform that connects specialists for the potential children/teenagers in need. The better design on website can improve User Experience to connect with specialists easily and maintain the digital reports to follow the children literacy levels and behaviour problems effectively.

The amount of donation/ tech innovation funds that is raised within one or two years' time along with growth of the platforms and the increase of team members for the size of the organization within 3 years. 

This is a positive impact to the industry with or without the physical contact during the pandemic and for countries limited with specialists and health professional. They can still receive the same assessment and follow-ups with just wifi.

Within 5 years, a merge of speech recognition and facial detection tool to offer help for children's literacy levels and the study of behavioural patterns. A blend of various concerns about the solution with the problems that are raised in the global data in Southeast Asian regions. 

To measure by the website metric data about the visitors who are interested, the visitors who inquires how this could be working and the visitors understand the work flow and willing to participate to the scheme by payment or donation. The study of the data for the school and parents' preferences.

The five-year goal is to successfully leverage the resources of the more developed countries to the less developed countries by connecting people from different background and countries that share their expertise into helping children in need of behaviour monitoring and early intervention on their symptoms plus the possible treatment being offered without the limit of locations and financial status. It provides the possibility to provide limited quota each year upon the donation received. The shared goal is to make therapy more easily accessible and more accurate intervention from the beginning with the help of machine learning.

Impact goals to be measured according to the UN Sustainable Development Goals: 

1. Good Health and Well-being

Ensure healthy lives and promote well-being for all at all ages. This will be measured by the clients' feedback after trying service on our platforms towards their learning abilities and behaviuoral patterns. It is normally done by parents to reflect on the service quality.

2. Quality Education

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. By closing the gaps between those are fallen behind from schools during the pandemic or having the infavourable economic conditions towards their study lives. The amount of donations that are able to collect from more developed countries to less developed countries, so as to quarantee the fair chances of receiving equal education.

3. Reduced inequalities

Reduce inequalities with and among the countries. The number of children or teeenagers received appropriate advice on literacy and behavioural problems and the amount of donations that are able to collect from more developed countries to less developed countries, so as to quarantee the fair chances of receiving equal education.

Activity: a pre-screening assessment tool for children and underserved children to identify their symptoms of speech and behavioural problems 

Outputs: a digital report based on the analytical data to signify their literacy levels and behavioural symptoms 

Outcomes: Able to improve the children speech and behaviour problems with a consistent followup digital report

It is the Natural Language Processing in analysing the speech to text, with the client's taped audio. NLP through Deep Learning can help us with the text to speech conversion of the words we utter (in short, the sounds we make) Into the words we read (the text block we get on our computer screen or maybe a piece of paper. And analysing the texts through deep learning to create a faster and more accurate result in estimating and identifying the learner's speaking level and speech difficulties. 

Platform-based solution with individual digital reports for children can help efficient follow-ups every time. It can help schools digitalise the learners' reports with comprehensive understanding towards literacy, behaviour and social skills. 

Voice recognition and facial detection technology are a widely used and as an accepted approach now and it is widely used already into digital devices e.g. mobile phones and on platforms, e.g. google and transcribing platforms to just record the voice for meeting notes or detect face for cameras. However the analysed parts for speech and behaviour patterns need to collect enough data as a set of trained data to predict results and generate outcome of each level.

It is simple and applicable to use voice recognition technology as analysing and recognising speech. Similar work flows that are seen in the market as a product demo can be stopped as just collected the voice data. But more analysis can be done to the data actually related to the theme research and the conceptual levels that can be classified while using the data for improving children's speech

Education inequities that children with low economic background tend to lose chances in education. SEA-PLM 2019 confirms persistent inequities, with children from wealthier backgrounds  reaching higher levels of learning achievement, while those in the most deprived contexts suffer from a lack of high quality learning opportunities.

Therefore, our company addresses on enabling and improving personalized learning and individualized instruction for learners, even after have experienced disruptions in schooling and missed foundational milestones, they still can catch up with their study by resuming the right literacy level, appropriate behaviour patterns and mood regulation.

Social development of children's mental health development right after the pandemic has been surely affected. Provide mental health and related sources to support parents in providing nurturing care for children, especially those with disabilities. Concerning and facilitating meaningful social-emotional learning among underserved young people.

The platform 2.0 is building to support and provide timely and manageable assessments to help under-resourced communities of having better plan, monitor, and evaluate learning towards their learning abilities and behaviour, mood patterns. 

By allowing donations, it lifts administrative burdens on educators and support professional development as they implement new approaches and navigate continued disruptions to the education. 

The business model for this ed-tech solution is bottom up model. The product is given to schools for free and teachers are encouraged for students to use for which they are charged at home once they get used to the learning analysis.

The more common freemium model limits the amount of features or support a teacher receives for the free product, and the paid version is essentially a more robust version of the same product. 

With the free trial model, the free and paid versions of the product are identical, but features on the trial version expire after, say, one month. This requires a teacher to convert to the paid version for prolonged use.

A sided fund is from donations. Incorporating with a non-business model that enables donation from more developed countries to less developed countries. It provides an equal opportunity to redistribute the existing resources to the less developed through technology.

1. Raising funds from charity and entrepreneur programmes for tech development

2. Starting the growth stage with more promotions on the 2.0 product that is a platform to connect parents, children and respective therapists. Part of the revenues can be received from that

3. Crowdfunding by using online angel investor platforms for an efficient way of increasing funds

4. Studying the website metric data about the visitors who are interested, the visitors who inquire how this could be working and the visitors who understand the workflow and are willing to participate in the scheme by payment or donation. The study of the data for the school and parents' preferences to help improve the final products to fit into the market needs for sustainability. 

5. Educate the public about the values of having effective digitalised solution online,so as to check regularly of students' learning conditions for better monitoring and evaluating students' learning performance, behavioural patterns and social-emotional needs. 

Will be disclosed to the judges if my submission is shortlisted.