Technical Training Project

This repository contains a Python application developed as part of a technical training project. The application integrates various technical functionalities including email sending, location retrieval, hand gesture capture, EC2 instance management, S3 file operations, and a chatbot.

Team Members

• Himanshu Kumar
• Mohd. Asif Ansari
• Saba Shamshad
• Ashutosh Singh
• Shikhar Pal

Project Overview

Introduction

This project was created during a technical training program to demonstrate the integration of multiple technologies and APIs in a single Python application. The project showcases various technical skills and collaborative efforts.

Tech Stack

• Programming Language: Python
• Libraries and APIs:
  • tkinter
  • pywhatkit
  • OpenCV
  • cvzone
  • geocoder
  • boto3
  • requests
  • cohere

Features

• Email Sending: Send emails using pywhatkit.
• Location Retrieval: Get the current location information using geocoder.
• Hand Gesture Capture: Capture hand gestures using OpenCV and cvzone.
• EC2 Instance Management: List, stop, and launch EC2 instances using boto3.
• S3 File Operations: Upload, download, and delete files in S3 buckets using boto3.
• Image Description: Describe images using Google Vision API and generate summaries using Cohere.
• Chatbot: A simple chatbot interface to interact with various features.

Workflow

The application consists of a graphical user interface created with tkinter that provides buttons to trigger different functionalities. The workflow includes:

1. Sending Emails: Prompt user to enter recipient email and message, and send the email.
2. Getting Location Info: Retrieve and display the current location and nearby places.
3. Capturing Hand Gestures: Use webcam to capture and display hand gestures.
4. Managing EC2 Instances: List, stop, or launch EC2 instances.
5. Handling S3 Files: Upload, download, or delete files from S3.
6. Image Description: Select an image file and generate a description and summary.
7. Chatbot: Enter queries and get responses generated from search results and Cohere.