README.md

📌About

AIRA is my personal AI based Resume Bot which can talk about me (Ashish) and provide important informations. AIRA is also enchanced with conversation intents to make the conversation feel more natural.

📌Requirements

• Flask : 1.1.2
• Flask-SQLAlchemy : 2.5.1
• Jinja2 : 2.11.3
• joblib : 1.0.1
• Keras-Preprocessing : 1.1.2
• nltk : 3.5
• numpy : 1.19.5
• sklearn-pandas : 2.0.4
• SQLAlchemy : 1.4.3
• tensorboard : 2.4.1
• tensorflow : 2.4.1
• tflearn : 0.5.0

📌Folder Manual

├───Artifacts
|   ├───checkpoint
|   ├───data.pickle
|   ├───model.tflearn.data-00000-of-00001
|   ├───model.tflearn.index
|   └───model.tflearn.meta
├───Intents
|   ├───intents.json
|   └───testIntents.json
├───Model
|   └───main.py
└───Server
    ├───static
    │   └───Images
    |   └───static.css
    |   └───static.js
    ├───templates
    |   └───index.html
    └───app.py

   const myvar = "Manual"
    Artifacts : [	- All built pickles and other files,
                 	- tflearn, pickle exports
  	],
    Intents : [	- Conversation samples for the model,
                "Intents.json" : [ - Current working intent],
                "testIntents.json" : [ - under development intents],
  	],
    Model : [	- Creation of model,
                 	- tflearn, NLTK and other packages used
  	],
    Server : [	- Main server file,
                 	- Flask server setup
  	],

📌Screen Snaps

📌Working Snap

📌Setup

• Clone the repo
  

  git clone https://github.com/ashishsahu1/A.I.R.A.git
  

• Install minimum requirements
  

  pip install -r requirements.txt
  

• Get inside Server
  

  cd .\Server\
  

• Run Server
  

  python app.py
  

• Open Localhost : http://localhost:5000/

Made with 💜 and 🧠 by, Ashish 😊