EduCare

Inspiration

Students who fails just because they are taught differently from the way they learn best

What it does

The app tells the way each individual is likely to learn fast based on some series of questions and it helps to convert the learning style at hand to the learning style of the individual e.g from PDF to audio and so on

How I built it

I build text to speech using nltk ,pypdf2 for convert PDFs to test and pydub for converting text to speech

Challenges I ran into

The time wasn't enough to work on the project like that because of the daily activities

Lack of data because the project dataset to train the machine model is not available

Lack of time to gather huge data from various individuals to train the machine learning model but an alternative was provided

Accomplishments that I'm proud of

I was able to know how to do text to speech

Am able to think on how to get data if the data needed for the job isn't available

What I learned

I learnt new sets of skills,I know more libraries which can do work faster without huge code ..There is a saying which says simplicity is the best

What's next for EduCare

To work on the project fully and solve all tasks before us

Built With

• googletrans
• nltk
• pyaudio
• pydub
• pypdf2
• python