Pancreatic Cancer Detection System using ML

Detecting pancreatic cancer using machine learning (ML) is a powerful and evolving application of AI in healthcare. Below is a structured guide for building a Pancreatic Cancer Detection System using ML, suitable for a project or real-world implementation.

Tools & Technologies:

• Languages: Python

• Libraries: scikit-learn, pandas, numpy, seaborn, matplotlib, TensorFlow/Keras (for image data).

• IDE: Google Colab / Jupyter Notebook

• Frontend (if needed): Flask or Streamlit for web app

🔷 Why Choose IFOCUS for Your College Project?

✅ 1. End-to-End Project Support (A to Z Process)

• From idea selection to final submission, we guide you step-by-step.

• Includes project design, development, testing, and report preparation.

✅ 2. Full Documentation Included

• Professionally written and formatted.

• Covers:

  • Abstract

  • Objective

  • Existing & Proposed System

  • Methodology/Architecture

  • Flowcharts/Diagrams

  • Modules Description

  • Coding (with explanation)

  • Output Screens

  • Conclusion

  • References

✅ 3. PPT Slides in College Format

• PowerPoint Presentation provided in NGP College / other institutional formats.

• Editable and ready for review or viva sessions.

• Includes:

  • Title Slide

  • Objective

  • System Architecture

  • Screenshots

  • Result & Analysis

  • Conclusion

✅ 4. Personalized Project Customization

• Projects tailored to your department, domain, and guide’s requirement.

• Support for technologies like Python, Java, Android, ML, AI, IoT, Power BI, etc.

✅ 5. Revisions Allowed

• Up to 2 free changes based on your staff/guide feedback.

✅ 6. One-on-One Support

• Dedicated staff available to clarify your doubts via call, WhatsApp, or video call.

✅ 7. On-Time Delivery

• We ensure that you receive your project well before your review date.

✅ 8. Internship Certificate (if applicable)

• Add value to your resume with internship recognition (optional).