The problem that we are facing in the present world is that the 1% population approx. 70 Million people stammer/stutter. Already there are many speech therapy apps and speech therapy courses. But there is no time for people to take i
Smart System for stammer prediction
The problem that we are facing in the present world is that the 1% population approx. 70 Million people stammer/stutter. Already there are many speech therapy apps and speech therapy courses. But there is no time for people to take it. So, in the solution to this problem, I have decided to make a smart system. Which takes voice as input and our system will process it into the engine. And then transcribe the output. Our system will be trained enough to predict the next word/sentence of the person. In this way, it is a huge contribution stammer community and help to solve the real-time problem. And attract the world attention to this problem.
The problem in the Existing System
There are various speech therapy and speech analyze apps. But these apps didn’t provide a real-time solution. Problems in the existing system are mentioned below:
1: People didn’t have enough time for therapy
2: Expensive Subscriptions
3: Not real-time progress monitoring
4: General Exercises.
I proposed the solution (Smart System for Stammer Prediction) which will help the community that stammers. We may use this smart system in our daily life. In fact, It will help people with the above-mentioned need to communicate with others in a more convenient way. So, in this way people do not need speech therapy and similar procedures.
| Data Set |
| Data Insides |
| Choose the best Algorithm based on performance matrices |
| Model deployed on the web |
| Working Application |
Data Set
Data Insides
Choose the best Algorithm based on performance matrices
Model deployed on the web
Working Application
After developing this smart system we can solve the problem of 70 Million people or 1% population of the world. The smart system will be used where a person stammers. And communicate well with others.
| Data Collection |
| Data Analysis |
| Training & Evaluating Machine Learning Algorithms |
| Model Deployment |
| Mobile Application |
Data Collection
Data Analysis
Training & Evaluating Machine Learning Algorithms
Model Deployment
Mobile Application
| Data Collection |
| Data Analysis |
| Training & Evaluating Machine Learning Algorithms |
| Model Deployment |
| Mobile Application |
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