Is your feature request related to a problem? Please describe.
With the upcoming Profile section for viewing past trips, users will need a simple and secure way to access their personal data.
Currently, GoPredict doesn’t have any authentication mechanism, meaning there’s no way to store or retrieve user-specific trip history across sessions.
This limits personalization and prevents multiple users from securely managing their own data.
Describe the solution you'd like
Integrate Google Sign-In (via OAuth 2.0) to allow users to log in using their Google account.
Once authenticated, users can access their own Profile, view past trips, and store predictions securely under their account.
Core functionalities:
Google OAuth login (Sign in / Sign out)
Session management (keep users logged in)
User-specific storage (separate profile and trip data for each user)
Basic profile display (name, email, profile picture)
Proposed Approach
Backend Integration
Use Google’s OAuth 2.0 API or a library like google-auth or firebase-auth for Python/JS backend.
Store user credentials (securely) and associate them with their trip data.
Frontend Implementation
Add a “Sign in with Google” button on the landing page or Profile section.
After login, display user details (profile picture, name, email) on the navbar or dashboard.
Data Linking
Each user’s predictions and history will be stored separately.
Modify the data-saving logic so that every record links to a user_id (from Google).
Security
Use secure tokens (JWT or Firebase ID tokens) for session management.
Implement logout and token expiration handling.
Benefits
Provides a personalized experience for every user.
Ensures data privacy — users only see their own past trips.
Simplifies onboarding — no need to create a new account.
Sets the foundation for multi-user functionality and cloud sync.
Additional Context
This feature will work hand-in-hand with the proposed Profile Section (#) to make GoPredict a more interactive and user-friendly platform.
In the future, it could also enable:
Cross-device syncing of predictions
Analytics dashboards per user
API access for authenticated users
@harshitaphadtare Assign this to me
Is your feature request related to a problem? Please describe.
With the upcoming Profile section for viewing past trips, users will need a simple and secure way to access their personal data.
Currently, GoPredict doesn’t have any authentication mechanism, meaning there’s no way to store or retrieve user-specific trip history across sessions.
This limits personalization and prevents multiple users from securely managing their own data.
Describe the solution you'd like
Integrate Google Sign-In (via OAuth 2.0) to allow users to log in using their Google account.
Once authenticated, users can access their own Profile, view past trips, and store predictions securely under their account.
Core functionalities:
Google OAuth login (Sign in / Sign out)
Session management (keep users logged in)
User-specific storage (separate profile and trip data for each user)
Basic profile display (name, email, profile picture)
Proposed Approach
Backend Integration
Use Google’s OAuth 2.0 API or a library like google-auth or firebase-auth for Python/JS backend.
Store user credentials (securely) and associate them with their trip data.
Frontend Implementation
Add a “Sign in with Google” button on the landing page or Profile section.
After login, display user details (profile picture, name, email) on the navbar or dashboard.
Data Linking
Each user’s predictions and history will be stored separately.
Modify the data-saving logic so that every record links to a user_id (from Google).
Security
Use secure tokens (JWT or Firebase ID tokens) for session management.
Implement logout and token expiration handling.
Benefits
Provides a personalized experience for every user.
Ensures data privacy — users only see their own past trips.
Simplifies onboarding — no need to create a new account.
Sets the foundation for multi-user functionality and cloud sync.
Additional Context
This feature will work hand-in-hand with the proposed Profile Section (#) to make GoPredict a more interactive and user-friendly platform.
In the future, it could also enable:
Cross-device syncing of predictions
Analytics dashboards per user
API access for authenticated users
@harshitaphadtare Assign this to me