Wellness_Journal

A full-stack project (React + Tailwind frontend, Node.js + Express + MongoDB backend, and a small Python sentiment analysis training script) that lets users log daily moods and short journal notes, visualizes mood trends, and performs sentiment analysis on entries.

Project structure

   wellness_journal/
   ├─ README.md
   ├─ .gitignore
   ├─ .env.example
   ├─ docker-compose.yml
   ├─ dataset/
   │  └─ mood_dataset.csv
   ├─ backend/
   │  ├─ package.json
   │  ├─ .env.example
   │  ├─ server.js
   │  ├─ models/
   │  │  ├─ User.js
   │  │  └─ Entry.js
   │  ├─ routes/
   │  │  ├─ auth.js
   │  │  └─ entries.js
   │  └─ middleware/
   │     └─ auth.js
   ├─ frontend/
   │  ├─ package.json
   │  ├─ index.html
   │  ├─ vite.config.js
   │  ├─ postcss.config.cjs
   │  ├─ tailwind.config.cjs
   │  └─ src/
   │     ├─ main.jsx
   │     ├─ App.jsx
   │     ├─ styles.css
   │     └─ components/
   │        ├─ JournalForm.jsx
   │        └─ MoodChart.jsx
   └─ ml/
      ├─ requirements.txt
      └─ train_sentiment.py

Features

• User signup / login (JWT)
• Add / view / delete journal entries (date, mood score, text)
• Sentiment analysis script to train a simple model on the included dataset
• Charts and a modern responsive UI (React + Tailwind)
• Clear README, env examples, and many files to present as a production-like repo

Quick start (local)

1. Clone or extract the project.

2. Install backend dependencies:

   cd backend
   npm install
   # create .env (see .env.example) and set MONGODB_URI and JWT_SECRET
   node server.js
   

3. Install frontend:

   cd ../frontend
   npm install
    npm run dev
   # open http://localhost:3000
   

4. (Optional) Train the sentiment model:

   cd ../ml
   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   python train_sentiment.py
   

Structure

backend/ -> Node.js + Express API

frontend/ -> React + Vite + Tailwind UI

ml/ -> Simple scikit-learn training script + dataset

dataset/ -> CSV used by ML script

Notes

This is a starter project. It may expand features (OAuth, deployment, mobile app).

Make sure to fill .env values before running backend.