Sentigo

Sentigo is a mobile application designed to analyze user emotions and provide personalized recommendations. It consists of two microservices (emotion_service and recommendation_service) and a Flutter-based frontend.

Features

• Emotion Detection: Analyze user input to detect emotions using the emotion_service.
• Personalized Recommendations: Provide tailored recommendations based on detected emotions using the recommendation_service.

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Images

Architecture

The project is divided into three main components:

1. Backend Microservices:

   • emotion_service: Detects emotions from user input.
   • recommendation_service: Generates recommendations based on the detected emotion.

2. Frontend:

   • A Flutter application that interacts with the backend services to provide a user-friendly interface.

3. Docker Compose:

   • Orchestrates the microservices for easy deployment and management.

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Prerequisites

• Docker and Docker Compose installed on your system.
• Flutter SDK installed for frontend development.
• Android studio for running the mobile emulator and backend services

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Getting Started

1. Clone the Repository

git clone https://github.com/sreyas-b-anand/sentigo
cd sentigo

2. ENV setup

• Create a .env file in recommendation_service folder and paste the below code in it . You need an api key from https://mistral.ai/

'MISTRAL_API_KEY'='YOUR API KEY'

• Create a .env file in frontend folder and paste the below code in it

FLUTTER_APP_EMOTION_SERVICE=your_backend_url/get_emotion
FLUTTER_APP_RECOMMENDATION_SERVICE=your_backend_url/get_recommendation

3. Backend Setup

cd backend
docker-compose up --build

• This will:

• Start the emotion_service on port 5000.
• Start the recommendation_service on port 5001.

4. Frontend setup

cd frontend
flutter pub get

• This will install the required dependencies

5. Run the application

flutter run