● Emotion-analyzing journal mobile app with Speech-To-Text analysis using BERT ML model to analyze journal entry emotion
● Highly graphical and chart-heavy dashboard representing time and date based analysis of journal entries using Flutter/Dart
● Cohesive backend RESTful API built in Python with Django providing CRUD operations tied to a non-relational HIVE database
● Utilizes OpenAI’s Whisper/ChatGPT for calculating the emotion id which is send to frontend
Presentation
- https://docs.google.com/presentation/d/1rDxEwDhC16h3SyqXu0pTTeUneiPniajZnS6LJzaEl1E/edit?usp=sharing
- Install requirements
cd api
pip install -r requirements.txt- Create
.envfile in the/apidirectory and place the necessary secrets in it (can be found in Notion).
python manage.py runserverpython manage.py process_tasks