CodeAj offers 80+ diploma-level final year projects for CS, IT, and computer engineering polytechnic students. Projects are designed for diploma complexity with clean code, simple architecture, and beginner-friendly documentation. Starting at INR 99.

Diploma Final Year Projects with Source Code

Diploma projects should be practical, easy to explain, and demonstrate core programming skills. Our collection of 80+ diploma-level projects use straightforward logic and clean code that you can confidently present to evaluators.

AI Content Detector — Django + Machine Learning Final Year Project with Source Code
available
AI Content Detector — Django + Machine Learning Final Year Project with Source Code

Paste any essay and find out if a human or an AI wrote it. Django + scikit-learn, sentence-level highlighting, PDF reports, REST API. Full source code included.

599.00

₹1999

SoulSync — AI Girlfriend and Boyfriend Companion App with Voice Calling | Flutter Final Year Project with Source Code
available
SoulSync — AI Girlfriend and Boyfriend Companion App with Voice Calling | Flutter Final Year Project with Source Code

SoulSync is an emotionally intelligent AI companion Flutter app featuring dual-gender AI partners, real-time voice calling, a Limbic Resonance Engine, glassmorphism UI, and Groq-powered conversation — a standout AI final year project with full source code

599.00

₹1999

EcoLearn — Gamified Environmental Education Platform for Schools and Colleges
available
EcoLearn — Gamified Environmental Education Platform for Schools and Colleges

A full-stack Django web application that teaches students about climate change, air quality, deforestation, and sustainability through gamification, interactive quizzes, real-world data analytics, and machine learning.

599.00

₹1999

AI-Powered Recipe Generator from Food Images - Deep Learning Based Cooking Assistant
available
AI-Powered Recipe Generator from Food Images - Deep Learning Based Cooking Assistant

Transform any food image into a complete recipe with our AI-powered recipe generator. Get instant recipe titles, ingredients list, and step-by-step cooking instructions using advanced deep learning and computer vision technology.

499.00

₹1999

Real-Time Video Calling App with Django WebRTC | WhatsApp Clone Final Year Project
available
Real-Time Video Calling App with Django WebRTC | WhatsApp Clone Final Year Project

Professional real-time messaging and video calling app built with Django, WebRTC, and Channels. Includes phone authentication, instant chat, HD video/audio calls, and responsive UI. Complete source code for final year projects.

499.00

₹1999

College AI Assistant – Smart Chatbot for Universities & Colleges | Powered by Django & Google Gemini AI
available
College AI Assistant – Smart Chatbot for Universities & Colleges | Powered by Django & Google Gemini AI

A smart, AI-powered college chatbot built with Django and Google Gemini API that answers student queries about courses, timetables, events, admissions, and more — instantly and accurately.

399.00

₹1999

Organ Donation Platform using Blockchain
available
Organ Donation Platform using Blockchain

A secure and transparent blockchain-based platform that simplifies and safeguards the organ donation and transplantation process.

499.00

₹1999

Frequently Asked Questions

Management systems (library, hospital, inventory), e-commerce websites, student portals, and basic CRUD applications are ideal for diploma students. Choose projects with 3-5 modules that you can explain well during viva.

Simple ML projects using pre-trained models are possible for diploma students. For example, a sentiment analysis tool using TextBlob or a basic image classifier. Avoid complex deep learning projects that are difficult to explain.

Python (Django/Flask) and PHP (Laravel) are the most popular for diploma projects. Java with JSP is also common. Choose the language your polytechnic teaches in the curriculum.

Diploma project reports are typically 25-40 pages. The format is similar to degree-level reports but shorter. Include introduction, system design, implementation with screenshots, testing, and conclusion.

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