P2P Energy Trading System for Local Businesses Using Beckn Protocol and Gemini AI

[yesrag2309]

Description:

Develop a Peer-to-Peer (P2P) energy trading system that empowers local businesses, such as Anand's wheat grinding mill, to purchase renewable energy from local prosumers. The system uses the Beckn Protocol for seamless P2P transactions and the Gemini AI API for a conversational interface. The system will reduce energy costs, promote sustainability, and enhance the accessibility of renewable energy.

Goals:

• [ ] Create a P2P energy trading platform powered by Beckn Protocol
• [ ] Implement Gemini AI for an intuitive conversational user interface
• [ ] Enable real-time energy tracking and savings analysis for users
• [ ] Ensure seamless transaction handling and transparency using Blockchain

Expected Outcome:

1. Small businesses reduce energy costs by 20% by purchasing surplus renewable energy
2. Simplified user experience using natural language to discover, negotiate, and track energy trades
3. Prosumers and buyers engage in decentralized energy trading, promoting local renewable energy

Acceptance Criteria:

1. The system must allow users to search and buy energy from local prosumers seamlessly
2. Energy transactions should be processed transparently and recorded immutably on the blockchain
3. The AI assistant must guide users through the energy purchase process via natural language interaction
4. Users should be able to track energy consumption and savings in real-time

Mockups / Wireframes:

Product:

P2P Energy Trading Demo (for Google for India 2024)

Domain:

Energy Trading, Renewable Energy

Tech Skills Needed:

Full Stack Development, API Integration, UI Building (Conversational AI), Blockchain (Solana or CORD integration), Beckn Protocol Implementation

Complexity:

Medium

Category:

Development

Sub Category:

Energy Trading Platform, AI Conversational Interface

Project View:

Use Case Document

Document Link

[yesrag2309]

Based on the initial demo use case discussion with Ravi on September 18th during the Tech Stand-up, followed by a walkthrough call of the WhatsApp AI Agent Twilio Integration Codebase with Mayur, work has officially begun. Please find the details and action items below:

Requested Ravi to provide the WhatsApp phone number and business account details to proceed. Either Ravi or the Tech team will reach out to Naman for Lang Graph integration. Prasad is currently working on the EC2 instance. The Tech team is developing the script document and organizing the required hardware for the event. The event is scheduled for October 3rd, 2024.

@emmayank Please let me know if I've missed anything. Since the work is started changing the flow status to Started.

@viraj89 @ravi-prakash-v @faizmagic @vbabuEM