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For students

Python projects for final year

Guided Python and Flask final-year projects with source code, report, PPT and viva preparation - built with you, not handed to you.

Project categories

Where students usually start

Flask web applications

Loan, hospital, attendance, examination and library systems with MySQL.

Machine learning

Classification and prediction projects with proper validation and a deployed inference endpoint.

Computer vision

OpenCV projects - face recognition attendance, number plate reading, object counting.

Data analytics

EDA, dashboards and reporting projects using Pandas and Power BI.

AI and LLM

Document Q&A, resume screening and chatbot projects with evaluation built in.

Automation

Scripting projects that replace a real manual task, which vivas tend to reward.

Deliverables

What you receive

  • Original source code you helped write, in your own repository
  • Database script with sample data
  • Synopsis and abstract in your college format
  • Project report with diagrams - ER, DFD, use case, architecture
  • Presentation deck plus a recorded walkthrough
  • Viva preparation session covering likely panel questions

How guidance works

Four to eight weeks, week by week

  1. Topic and synopsis

    We help you choose a scope your college will approve and you can finish, then write the synopsis.

  2. Design

    ER diagram, module list and screen flow. You present this to your guide.

  3. Build with review

    You implement modules; we review code weekly and unblock you on WhatsApp between sessions.

  4. Report and viva

    Report formatting, PPT, dry-run demo and a mock viva.

Related work

Projects in this category

Glowing document stack scanned by an orange laser beam under a neural network
AI

AI Resume Screening

Parses PDF and DOCX resumes, extracts skills and experience, scores candidates against a job description and returns a ranked shortlist with reasons.

  • Python
  • spaCy
  • scikit-learn
  • FastAPI
Request walkthrough Live demo GitHub
Wireframe face mesh scanned by an orange recognition beam
AI

Face Recognition Attendance

Live camera enrolment and recognition with anti-duplicate marking, low-light tolerance and a supervisor dashboard showing daily presence heatmaps.

  • Python
  • OpenCV
  • dlib
  • Flask
Request walkthrough Live demo GitHub
Isometric calendar panel with attendance marks above a fingerprint scanner
Software

Attendance Management System

Biometric and QR attendance capture with period-wise registers, shortage alerts under 75 percent and monthly exports for university records.

  • Python
  • Flask
  • SQLite
  • Pandas
Request walkthrough Live demo GitHub

FAQ

Questions we get on this specifically

No. We guide and review while you build the core. A project you cannot explain fails the viva regardless of how well it runs, and panels ask about implementation details now.

Guided student projects start at INR 4,999 including source code, report, PPT and viva preparation. Machine learning and computer vision topics sit slightly higher because of data and testing effort.

Each build is scoped to your requirements rather than copied from a template, and documentation is written for your specific implementation. We also run a similarity check on the report before submission.

Sometimes. Tell us the deadline on the first call and we will either commit to a scope that fits or tell you plainly that it does not.

Next step

Get a written scope

Send the brief and you get a module map and a price range within two working days.

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