NSAHackathon2025/ Team - greenwise.ai

🌟 Award Recognition

🏆 Best Business Impact Winner - NSA Boston National Hackathon 2025

Recognized for creating the most impactful solution addressing real-world agricultural challenges in Nepal.

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🌱 Krisi Sahayak – AI-Powered Farmer Assistant

Krisi Sahayak is a web application developed by Greenwise.ai to assist farmers in Nepal. Utilizing Google Cloud APIs, it offers voice and text-based agricultural guidance in Nepali and local dialects, providing real-time weather updates and localized crop recommendations.

🎯 Mission

To empower Nepalese farmers with a voice-driven AI assistant that delivers real-time market and weather insights, helping them increase profitability while collecting crucial agricultural data for future planning and analysis.

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🌟 Vision

To create the first central repository of agricultural data in Nepal, empowering:

• Farmers with personalized advice
• NGOs with ground realities
• Policymakers with actionable insights

This will help shape the future of food security in Nepal.

🚀 Features

• 🗣️ Voice & Text Interaction: Communicate in Nepali or local dialects using Google Cloud's Speech-to-Text and Text-to-Speech APIs.
• 🤖 AI-Powered Recommendations: Receive personalized crop and yield advice powered by Google Gemini LLM.
• 🌦️ Weather Updates: Access location-based weather forecasts for informed farming decisions.
• 📊 Data Logging: Store user interactions and responses in Google Cloud for future analysis.
• 🖥️ User-Friendly Interface: Navigate a simple, visual dashboard designed for farmers.

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🛠️ Tech Stack

• Frontend: Django Templates (HTML, CSS)
• Backend: Django + REST API
• AI Integration: OpenAI ChatGPT LLM
• Cloud Services: Google Cloud Speech-to-Text, Text-to-Speech, Cloud Storage
• Version Control: Git, GitHub

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⚙️ Installation Guide

1️⃣ Clone the Repository

git clone https://github.com/prasiddhigyawali/NSAHackathon2025.git
cd NSAHackathon2025

2️⃣ Backend Setup (Django)

1. Navigate to the project directory:

   cd nsa_hackathon

2. Create virtual environment:

   python -m venv .

3. Activate virtual environment:

   # Windows:
   source Scripts\activate
   
   # Linux/Mac:
   source bin/activate

4. Install dependencies from requirements.txt:

   pip install -r requirements.txt

5. Navigate to Django project:

   cd greenwise

6. Run Django server:

   python manage.py runserver

(Optional for now) Set up Google Cloud credentials:

set GOOGLE_APPLICATION_CREDENTIALS="path/to/service-account.json"

Run the server:

python manage.py runserver

3️⃣ Frontend Access

Access the application via local server http://127.0.0.1:8000/.

🔮 Future Enhancements

• Ethnic Language Model: Expand to create the first AI model specifically trained for Nepali ethnic languages and dialects, ensuring truly localized voice and text interaction.

• Mobile Application: Offline-capable version for broader accessibility.

• NGO/INGO and Government Partnerships: Collaborate to scale impact and insights.

👨‍🌾 Team Greenwise.ai

🌱 Adishri Pradhan – Team Lead

🌱 Drishya Shrestha - Software Engineer

🌱 Prabesh Sunar - Business Analyst

🌱 Prasiddhi Gyawali - Software Engineer