FinalYearKitFinalYearKit
AI / ML

Plant Disease Classification

Upload a leaf photo and get the disease class with confidence — a CNN image project for agriculture-themed submissions.

PythonTensorFlow/KerasStreamlitOpenCVNumPy
chat.py
Classify this tomato leaf photo
Predicted: Early Blight (0.87). Next likely: Healthy (0.08), Late Blight (0.05). Suggest checking lower leaf surfaces.
Upload → Predict
TESTED

What it does

An image classification kit: users upload a leaf image, the model returns disease class and confidence, and the UI shows sample gallery comparisons. Strong visual demo for panels and a clear CNN architecture story in the report.

Features

  • ✓Leaf image upload and disease class prediction
  • ✓Confidence scores across top classes
  • ✓Sample image gallery for live demo
  • ✓Training metrics charts for viva discussion

What's included

  • ✓Full working Streamlit application
  • ✓8-chapter Word report with CNN architecture
  • ✓14-slide presentation deck
  • ✓Viva question bank + cheat sheet
  • ✓Sample leaf images and model weights

Pricing

Same pricing tiers across every project kit.

A freelancer would charge ₹10,000–₹20,000 for the same project. Our kits start at ₹1,499 and are delivered in hours — not weeks.

Starter

The working application, ready to run and demonstrate.

₹1,499₹2,500
Delivered within 4 hours via WhatsApp
  • ✓Full source code
  • ✓Setup & run instructions
  • ✓requirements.txt / package.json
  • ✓Runs on your machine in under 10 min
Get Starter kit
Most Popular

Standard

Submit-ready — full academic report and presentation included.

₹2,499₹4,500
Save ₹2,001
Delivered within 4 hours via WhatsApp
  • ✓Everything in Starter
  • ✓8-chapter Word report
  • ✓14-slide presentation deck
  • ✓Architecture & flow diagrams
Get Standard kit
Best Value

Complete

Everything to submit AND confidently defend your project.

₹3,499₹6,000
Save ₹2,501
Delivered within 6 hours via WhatsApp
  • ✓Everything in Standard
  • ✓Viva Q&A bank + cheat sheet
  • ✓Customized to your name & college
  • ✓WhatsApp support until submission
Get Complete kit

Satisfaction guarantee

Not happy with what you receive? Message us within 24 hours and we'll either fix it or refund you — no questions asked.

Questions about this project

Will it run on a laptop without GPU?+

Inference runs on CPU; training notes in the report assume Colab/GPU optional.

Can I change the crop types?+

Yes — retrain on a new labeled folder structure using the included training script.

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