Skip to content
AI/ML Mini Project Source Code + Docs + PPT

Flood Prediction System Project

A Flood Prediction System in Python using rainfall and river data with ML to predict flood risk.

  • Python
  • TensorFlow/Scikit-learn
  • MySQL
  • Remote setup included
Ask on WhatsApp

See the project running first, then pay.

Flood Prediction System - Interior view of a submerged kitchen in the muddy water of the Mekong, at night, during a
Image: Basile Morin / CC BY-SA 4.0 via Wikimedia Commons

What is the Flood Prediction System?

The Flood Prediction System warns about possible floods. It uses historical rainfall and river level data for a region.

Models like Random Forest and LSTM learn patterns before floods and predict risk for the coming days. The dashboard shows risk levels and rainfall charts. It is built with Python, Scikit-learn, TensorFlow and Flask.

Best for: BE / B.Tech (CSE, IT, AI & DS), MCA, MSc and BSc Computer Science students. Good as a mini project for your semester submission.

Key Features

Main things you can do with the Flood Prediction System.

  • Rainfall dataset
  • River level data
  • Monthly rainfall features
  • Random Forest and LSTM
  • Flood risk prediction
  • Risk dashboard
  • Rainfall charts
  • Evaluation reports

Project Modules

The project is divided into these modules. Each one has its own screens and tasks.

1Data

  • Load
  • Clean
  • Features
  • Split

2Model

  • Train
  • Compare
  • Evaluate
  • Save

3Dashboard

  • Enter data
  • Predict
  • Risk map
  • Alerts

4Analysis

  • Charts
  • Accuracy
  • Trends
  • Reports

What You Get

Everything you need to submit, run and explain the project.

Complete Source Code

Full, working source code with clean folder structure and helpful comments. No locked or hidden files.

Database File

Ready-to-use MySQL database with tables and sample data, so the project runs on day one.

Project Documentation

Full project report in Word and PDF: abstract, SRS, system architecture, dataset details, algorithm explanation, accuracy charts and confusion matrix, screenshots, testing and conclusion.

PPT Presentation

A 15–20 slide presentation for your seminar, review or final viva. Easy to edit with your name and college.

Remote Project Setup

We connect to your laptop with AnyDesk or Google Meet, install everything and run the project for you.

Project Explanation

A simple walkthrough of the code and flow, plus common viva questions, so you can explain it with confidence.

Project Documentation includes

  1. Certificate, acknowledgement and abstract
  2. Introduction, problem statement and objectives
  3. Existing system vs proposed system
  4. Software Requirement Specification (SRS)
  5. System design: system architecture, dataset details, algorithm explanation, accuracy charts and confusion matrix
  6. Module description and screenshots
  7. Testing and test cases
  8. Conclusion, future scope and references

PPT Presentation slides

  1. Title and team details
  2. Introduction and problem statement
  3. Objectives
  4. Existing vs proposed system
  5. System architecture
  6. Modules
  7. Technology used
  8. Screenshots / demo
  9. Advantages and future scope
  10. Conclusion

Tech Stack

PartTechnologyUsed for
LanguagePython 3Model training and app logic
ML LibrariesTensorFlow/Scikit-learnTraining and prediction
DataNumPy, Pandas, MatplotlibCleaning and charts
Web UIFlask / StreamlitSimple page to test the model
StorageMySQLSaves users, inputs and results

Software and hardware requirements

  • Laptop with 8 GB RAM (GPU is optional, not required)
  • Python 3.9 – 3.11 and pip
  • VS Code or Jupyter Notebook
  • Libraries from requirements.txt (we include it)

How the Flood Prediction System Works

1

Dataset

A public dataset is loaded, cleaned and split into train and test parts.

2

Training

The model learns patterns from the training data.

3

Testing

Accuracy, precision and recall are checked on test data.

4

Prediction

Users give new input in the web page and get the result instantly.

Remote Project Setup Guidance

Not sure how to run it? We set up the project on your laptop over AnyDesk or Google Meet. No need to visit us.

  1. 1
    Share your details
    Tell us your laptop type (Windows / Mac) and a time that suits you.
  2. 2
    Install AnyDesk
    Install free AnyDesk (or join Google Meet) and share the access code.
  3. 3
    We set it up
    We install the required software, import the database and configure the machine learning project.
  4. 4
    Test together
    We run the project in front of you and check every main feature.
  5. 5
    Understand it
    We explain the code, flow and database so you are ready for your viva.

  1. Install Python 3 and tick Add Python to PATH during setup.
  2. Open the project folder in VS Code and create a virtual environment: python -m venv venv.
  3. Install the libraries: pip install -r requirements.txt.
  4. Run the notebook or training script once to train the model (a trained model is also included).
  5. Start the web app with python app.py and open localhost:5000 in your browser.

Flood Prediction System Images

Flood Prediction System - Flood relief channel with flood water
Flood relief channel with flood water Image: David Smith / CC BY-SA 2.0 via Wikimedia Commons
Flood Prediction System - Flood Water level marking
Flood Water level marking Image: Sripathroy / CC0 via Wikimedia Commons

What You Will Learn

Data cleaning and feature engineering Training and comparing ML / DL models Measuring accuracy, precision, recall and F1-score Saving a model and using it in a Flask app Explaining your results in the viva

Frequently Asked Questions

Yes. Flood Prediction System is a practical mini project that solves a real problem. It is suitable for BE / B.Tech (CSE, IT, AI & DS), MCA, MSc and BSc Computer Science students. It is easy to explain in a viva and easy to extend with your own ideas.

This machine learning project is built with Python, TensorFlow/Scikit-learn, MySQL. The full technology list is in the "Tech Stack" section above.

Yes. You get the complete source code and the MySQL database file with sample data. Nothing is locked or hidden.

Yes. You get a full project report (Word and PDF) with diagrams and screenshots, and a ready PPT presentation for your review or viva.

Yes. We offer remote setup using AnyDesk or Google Meet. We install the software, run the project and explain how it works.

Yes. Small changes such as your college name, colours or extra fields can be done. Bigger custom features can be discussed on call or WhatsApp.

We follow a simple rule: you see the project running first, then you make the payment. You can pay by UPI or bank transfer.

Project Details

Available
  • ProjectFlood Prediction System
  • TypeMini Project
  • CategoryAI/ML
  • LanguagePython
  • FrameworkTensorFlow/Scikit-learn
  • DatabaseMySQL
  • DocumentationReport + PPT
  • SetupRemote help
  • DeliverySource Code + Documentation
Chat on WhatsApp
Get the project first, then pay. No advance needed.

Need help? Call or WhatsApp

+91 90670 53826 +91 91451 51367

Available every day, 9 AM – 9 PM IST.

Similar AI/ML Projects

View all
Customer Support Chatbot project
Major · Python

Customer Support Chatbot

A Customer Support Chatbot in Python using NLP to answer FAQs, track orders and hand over to human agents.
Deepfake Detection project
Major · Python

Deepfake Detection

A Deepfake Detection project in Python using CNN and LSTM to detect fake, AI-generated face videos.
Earthquake Magnitude Prediction project
Major · Python

Earthquake Magnitude Prediction

An Earthquake Magnitude Prediction project in Python using seismic data and ML to estimate quake magnitude.
Fake News Detection project
Major · Python

Fake News Detection

A Fake News Detection project in Python using NLP and machine learning to classify news articles as real or...
Optical Character Recognition (OCR) project
Mini · Python

Optical Character Recognition (OCR)

An Optical Character Recognition (OCR) project in Python to extract text from images and scanned documents.
Text Summarization Tool project
Major · Python

Text Summarization Tool

A Text Summarization Tool in Python using NLP to create short summaries of long articles and documents.
WhatsApp