gdsc-umit/everly

Everly

Team Members

Mentor: Smith Jethwa

Co-mentor: Bhoomika Wavhal

Participants:

1. Harshada Kulkarni
2. Ritika Sharma
3. Sakshi Tembhurne
4. Pooja Vichare

Overview

The project aims to develop a personal virtual-assistant. It has been designed to provide a user-friendly interface for carrying out a variety of tasks by employing certain well-defined commands. Users can interact with the assistant either through voice commands or using keyboard input. As a personal assistant, It assists the end-user with day-to-day activities like general human conversation, searching queries in google, searching for files, emails etc, tracks your mood and reminding the user about the scheduled events and tasks. The user statements/commands are analysed with the help of machine learning to give an optimal solution.

Technologies required

• Language: Python, Tensorflow
• Frameworks/Platform
• Microsoft bot framework(Once we have developed our bot locally we can upload it microsoft azure bot service and it enables us to connect,deploy and manage bots)
• Dialogflow
• API.ai
• Tensorflow
• Chatterbot (libraries)
• KerasNLTK(Natural language processing toolkit) (deep learning library)
• NLTK (Natural language processing toolkit)

Specifications

• Therapy chatbot that tracks your mood, learns human behavior patterns based on your responses, and teaches techniques in Cognitive Behavioral Therapy.
• Sorts through emails, computers, personal clouds, and more to retrieve desired files.
• Instead of notifications, reminders will be read aloud by the bot.