Bravenaman/IDAI103-1000432-NAMAN-OM-SHRESTHA

# 🌱 FarmaBuddy – AI Powered Smart Farming Assistant **CRS Artificial Intelligence – Formative Assessment 2 **Course:** Generative A.I **Team:** Jashith Rathod, Nishtha Shah, Naman Shreshtha --- ## 📌 Project Overview FarmaBuddy is a Generative AI-powered web application built using **Streamlit** and **Google Gemini 1.5 API**. The system provides region-specific, actionable farming advice to farmers in: - 🇮🇳 India - 🇬🇭 Ghana - 🇨🇦 Canada The assistant formats AI responses clearly and includes reasoning behind each recommendation to improve farmer trust and usability. This project transforms the FA-1 storyboard into a fully functional and deployed AI application. --- ## 🎯 Intended Learning Outcomes Achieved - ✔ Format and refine outputs generated by Gemini for clarity and real-world usability - ✔ Evaluate and optimize model outputs using prompt engineering - ✔ Deploy a working AI web application using Streamlit Cloud - ✔ Implement user interaction monitoring and feedback collection --- ## 🚀 Live Deployment Link 🔗 **Streamlit App URL:** xdymq9ydmjn9xnab2qrigi.stre… --- ## 🛠 Technologies Used - Python - Streamlit - Google Gemini 1.5 API - Pandas - GitHub - Streamlit Cloud --- ## 📂 Project Structure FarmaBuddy/ │ ├── app.py ├── requirements.txt ├── README.md --- ## 📦 requirements.txt streamlit google-generativeai requests pandas matplotlib --- ## 🧠 Step 4 – Output Formatting & Reasoning To ensure clarity and usefulness: - Gemini outputs are structured into bullet points. - Each recommendation includes a justification (“why” explanation). - Technical language is simplified. - Advice is region-aware and crop-stage specific. ### 📍 Example Prompt Tested **Input:** “What to grow in Rajasthan in August?” **Formatted Output:** - **Pearl Millet** – Drought-resistant and thrives in arid soil. - **Cluster Bean** – Suitable for sandy soil with low irrigation. - **Green Gram** – Short crop cycle fits monsoon season. Each suggestion i …