An intelligent web app that helps you track your thoughts, summarize your day, and analyze your mood using Natural Language Processing and Hugging Face models. Built with React, Express.js, MongoDB, and Hugging Face's Inference API.

• 🔗 Frontend (React on Vercel): (https://ai-daily-journal-kw75.vercel.app/)
• ⚙️ Backend (Express on Render): https://ai-daily-journal-api.onrender.com

• 📝 Create daily journal entries.
• 🧠 Summarization using the facebook/bart-large-cnn model.
• 😄 Mood detection using cardiffnlp/twitter-roberta-base-sentiment.
• 📅 Timeline view of all entries.
• 🔐 Environment variable support for secure keys.

• 🤗 facebook/bart-large-cnn — summarization
• 🤗 cardiffnlp/twitter-roberta-base-sentiment — sentiment analysis
• 🤗 Hugging Face Inference API

ai-daily-journal/
├── client/     # React frontend
└── server/     # Express backend + AI + MongoDB

• Node.js and npm
• MongoDB Atlas account
• Hugging Face API key

git clone https://github.com/23241a6749/ai-daily-journal.git
cd ai-daily-journal

cd server
npm install

Create a .env file:

PORT=5000
MONGODB_URI=your_mongodb_connection_uri
HUGGINGFACE_API_KEY=your_huggingface_api_key

Run the server:

node index.js

cd ../client
npm install

Create a file: src/config.js

export const API_URL = "https://ai-daily-journal-api.onrender.com";

Run the app:

npm start

Input:

I had a great day today! I completed my project and spent quality time with my family. Feeling proud and happy.

Summary:

"I had a great day today! I completed my project and spent quality time with my family," she said. "Feeling proud and optimistic."

Mood:

positive

Licensed under the MIT License.

• Hugging Face Transformers
• MongoDB Atlas
• Render (for server deployment)
• Vercel (for frontend hosting)