https://github.com/dsdipto7/agrovision

https://github.com/dsdipto7/agrovision

Last synced: 5 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/dsdipto7/agrovision
• Owner: DsDipto7
• Created: 2025-05-12T15:03:16.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2025-07-11T17:46:08.000Z (8 months ago)
• Last Synced: 2025-07-11T18:45:23.220Z (8 months ago)
• Language: Jupyter Notebook
• Size: 42 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# 🥔 AI Powered Potato Plant Disease Classifier And Solution Giver

A web-based AI system that allows users to **upload images of potato leaves** and instantly predicts whether the leaf is **Healthy**, has **Early Blight**, or **Late Blight** using Deep Learning.  

Users can also **chat with an AI assistant** (powered by Gemini API) to get treatment solutions and suggestions in **Bengali** or English.

---

## 🌟 Features

- ✅ Upload potato leaf image (JPG/PNG)

- 🧠 Predicts the disease using CNN (Convolutional Neural Network)

- 📊 Displays prediction confidence

- 💬 Chatbot powered by Gemini API for treatment suggestions

- 🌐 Multilingual support (English + Bengali)

- 🧼 Clean and responsive user interface

---

## 🖼️ Demo Screenshots

### 1️⃣ Upload Section

![Upload](./Screenshot%20(159).png)

### 2️⃣ Prediction Output

![Prediction](./Screenshot%20(160).png)

### 3️⃣ Chatbot Solution in Bengali

![Chatbot](./Screenshot%20(161).png)

---

## ⚙️ Tech Stack

| Layer        | Technology                                |

|--------------|--------------------------------------------|

| 👁️ ML Model | Deep Learning CNN (Trained on Kaggle data) |

| 🌐 Frontend | HTML, CSS, JavaScript                      |

| 🔙 Backend  | Python Flask                               |

| 🧠 Chatbot  | Gemini API                                 |

| 📊 Dataset   | Potato Leaf Disease Dataset (Kaggle)       |

---

## ✅ Conclusion

This project was developed as part of a learning journey in AI and web development. It showcases the power of deep learning in real-world applications like crop disease detection. By integrating a CNN model with a chatbot powered by Gemini API, the system not only detects diseases but also provides helpful solutions in the user's native language.

In the future, I plan to extend this project to support more crops, multi-language support, and cloud-based deployment.

Thank you for checking out the project!  

If you have any suggestions, ideas, or collaboration opportunities, feel free to reach out to me via email:  

📧 **diptosaha.ndc50@gmail.com**