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AI-based voice-assisted Contact Center for assisting Farmers for their problems.

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Krashak.AI

Hackathon (2)

Problem Statement (AGRI12)

AI-based voice-assisted Contact Center for assisting Farmers for their problems. Farmers can log their problems with the contact center thru phone calls / SMS / website and in return an automated voice response can be provided to the farmers with a most appropriate solution for their problems.

UNESCO India - Africa Hackathon

Features

  1. Localization
  2. Provides best solutions to the farmer's problem using NLP algorithm and knowledge base repository.
  3. Crop Recommendation
  4. Fertilizer Recommendation
  5. Disease Prediction
  6. Weather Forcasting
  7. AI Voice Assistance
  8. Voice SMS in local language

Technology Stack:

  • Frontend: React
  • Backend: Flask
  • IDE: VS Code
  • Design: Figma, Canva
  • API Testing & Documentation: Postman
  • Version Control: Git and GitHub

How to Get Started?

GitHub Repository Structure

S.No. Branch Name Purpose
1. master contains all Frontend code
2. backend contains all Backend code
3. ml contains all ML code

Frontend Setup Instructions

  • Fork and Clone the repo using
$ git clone https://github.com/rudrakshi99/Farmer-Call-Center.git
  • Install the Dependencies from npm
$ npm i
$ npm start

Team Members:

S.No. Name Role GitHub Username:octocat:
1. Rudrakshi (Team Leader) Frontend Development @rudrakshi99
2. Frank Makeba Frontend Development @CutCoders
3. Tony Onkgopotse Richard Backend Development @Onkgopotse007
4. Pedro Anda Ondo Nchama Backend Development @paondonchama
5. Faremi Saheed ML Engineer @faremi
6. Ayushi Saxena Product Designer @ayushisaxena19

Maintainers✨


Rudrakshi

💻

Faremi Saheed

💻

Pedro Anda Ondo Nchama

💻

Tony Onkgopotse Richard

💻

Ayushi Saxena

💻

Frank Makeba

💻

License 📝

This project follows the MIT License.

Uses Git forthebadge forthebadge Built with love Built By Developers

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AI-based voice-assisted Contact Center for assisting Farmers for their problems.

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  • JavaScript 91.8%
  • HTML 4.4%
  • CSS 3.8%