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UTrack

imported

software/utrack

UTrack analyses the user's tweets and finds the level of Loneliness, Stress and Anxiety, and their trends over time

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bert-model · deep-learning · mental-health · mental-health-awareness · natural-language-processing · nltk-library · python · regex
Regulatory
unknown
built by · 5

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • MEMEbert-model

    [npj Digital Medicine 2025] Multiple Embedding Model for EHR (MEME) used for strong prediction on Emergency Department tasks

  • 29kmental-health · mental-health-awareness

    This is the repository of the free, non-profit, open-source and co-created mental health app Aware.

  • aishikabotmental-health · mental-health-awareness

    Aishika is Cognitive Behavioral Therapy Bot that will help to provide easy access to mental health care.

  • balancer-mainmental-health · mental-health-awareness

    Code For Philly Balancer Project (https://codeforphilly.org/projects/balancer)

  • conversemental-health · mental-health-awareness

    ConveRSE - a hub for mental health resources for RSEs.

  • feelingmental-health · mental-health-awareness

    A simple terminal-based feelings tracker

sources
  1. api.github.com/repos/caciitg/UTrack
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2021-07-30, 14 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/23.json→ .entries["utrack"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.