Smart Conversation App

Project Title

Smart Conversation App

Project Area of Specialization Computer ScienceProject Summary

We want to be fluent in English but we don’t have anyone with whom we can practice English speaking with. Similarly we don’t have enough courage to speak in English. This app will solve the problem for us or to provide a facility to improve our English. It will encourage us to build our confidence to speak better. In this app, We will improve our English by calling our friend etc. We will speak on any topic without any hesitation. In this app, we can also check our grammatical mistakes or accent after the conversation is ended. Through this feature we can improve our speaking skills day by day by checking a graph of number of grammatical mistakes. We can also set our timings for calling whenever it will reach completion time it generates a vibration before 1 minute.

Project Objectives

1) User can easily improve English Language.

2) User will motivate to speak fluently.

3) They also check their report and watch their progress day by day.

Project Implementation Method

As we mentioned above project is basically based on english improvement domain.In which the user can communicate through call and after the call they acknowledge about how many mistakes he or she done in communication.

Project Implementation Method by which the projects are technically in the field is by:

1) OTP verification.

2) Calling Feature (two sided).

3) Accent Matching.

4) Mistakes Checking (Grammer).

5) Maintain their Records.

6) Improve their english communication graph.

Benefits of the Project

1) An authorized person can only registered by providing their number by using OTP verification.  

2) We will help us to improve our english by using this app we can communicate confidently.

3) It help us to acknowledge after each call by using graph.

4) We also see our mistakes in communication.

5) It maintains the record. 

Technical Details of Final Deliverable

We are trying to achieve the improvement in english by using calling feature.

We achieve this by using calling feature with each other and also a machine learning model and some API's.

We used Android Studio, API's, Machine Learning and Firebase etc.

We need sample of voices to extract some features in it.

At the end this deliverable can easily accessable for each one whether they are good in english or not.

Final Deliverable of the Project Software SystemCore Industry TelecommunicationOther Industries Education , Others Core Technology OthersOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Quality Education, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	69500
Software Licensee	Equipment	1	4500	4500
System Upgrade	Equipment	1	65000	65000