This page provides JNTU (Jawaharlal Nehru Technological University) specific information for final year projects across JNTUH (Hyderabad), JNTUK (Kakinada), and JNTUA (Anantapur). Covers evaluation structure, documentation requirements, and campus-specific differences.

JNTU final year projects with source code

Jawaharlal Nehru Technological University operates across three campuses — JNTUH (Hyderabad), JNTUK (Kakinada), and JNTUA (Anantapur) — each with slight variations in project evaluation. This guide covers common requirements across all three JNTU campuses.

About JNTU project requirements

JNTU (Jawaharlal Nehru Technological University) operates through three autonomous campuses in Telangana and Andhra Pradesh:

  • JNTUH — Jawaharlal Nehru Technological University Hyderabad (Telangana). Affiliates 300+ colleges.
  • JNTUK — Jawaharlal Nehru Technological University Kakinada (Andhra Pradesh). Affiliates 200+ colleges.
  • JNTUA — Jawaharlal Nehru Technological University Anantapur (Andhra Pradesh). Affiliates 150+ colleges.

While there are differences in semester structure and grading between the three campuses, the core project requirements are similar across all JNTU universities.

JNTU project evaluation structure

For BTech CSE students at JNTU:

  • Project Phase 1 (7th semester) — worth 2 credits. Includes topic selection, literature survey, and preliminary design. Evaluated through mid-semester and end-semester reviews.
  • Project Phase 2 (8th semester) — worth 8-10 credits. Includes implementation, testing, and final submission. Evaluated through internal reviews and external viva.

The evaluation split is typically 60% external (university-appointed examiner) and 40% internal (college guide). This high external weightage means the final demo and viva are critical.

JNTU documentation requirements

  • Project report in prescribed format with Gantt chart in Chapter 1
  • Both DFD and UML diagrams required in the system design chapter
  • Testing chapter must include at least 15 test cases
  • References must include IEEE papers published in the last 3 years
  • Plagiarism report from Turnitin or similar tool (must be below 25%)
  • Hardbound report (black cover, gold lettering)
  • Source code CD/DVD required at most affiliated colleges

Differences between JNTUH, JNTUK, and JNTUA

  • JNTUH — follows R18/R22 regulation. Project worth 10 credits total. Requires a project expo or poster presentation in addition to the viva.
  • JNTUK — follows R20 regulation. Emphasis on industry-oriented projects. Some colleges require an industrial mentor in addition to the academic guide.
  • JNTUA — follows R19/R23 regulation. Requires a seminar presentation before the project demo. Greater emphasis on the project report quality.

Popular project domains at JNTU

  • Machine learning — classification, prediction, and recommendation systems
  • Deep learning — CNN-based image processing, LSTM for time series
  • Web development — full-stack applications with modern frameworks
  • Cloud computing — AWS/Azure deployed applications
  • Network security — intrusion detection, encryption systems

Tips for JNTU project success

  • Check your specific regulation — JNTUH R18 and R22 have different credit structures. Use the correct syllabus document from your university website.
  • Get industry mentor approval — if your college requires an industry mentor (common at JNTUK), connect with professionals in your project domain early.
  • Submit plagiarism report — JNTU is strict about plagiarism. Run your report through Turnitin before submission and ensure it is below 25% similarity.
  • Prepare for the project expo — JNTUH sometimes organizes project expos where students present their work on posters. Prepare a professional poster.
  • Focus on the external viva — with 60% external weightage, the university-appointed examiner has significant influence on your grade.

Projects for your submission

AI-Generated Text Detection Using Machine Learning with SHAP Explainability Python Final Year Project with Source Code
available
AI-Generated Text Detection Using Machine Learning with SHAP Explainability Python Final Year Project with Source Code

Paste any paragraph and find out if a human or an LLM wrote it — with a calibrated confidence score and the exact linguistic reasons behind the verdict. Complete Python final year project, Flask app, trained models, source code included.

Rs.1999.00

Rs.1999

AI LinkedIn Profile Analyser — Django & Groq Final Year Project
available
AI LinkedIn Profile Analyser — Django & Groq Final Year Project

Paste your LinkedIn profile, get an AI-generated score, section-wise breakdown, and rewrite suggestions in under a minute.

Rs.499.00

Rs.1999

Smart Employee Attendance & Payroll Management System with Leave Tracking - Flutter Source Code
available
Smart Employee Attendance & Payroll Management System with Leave Tracking - Flutter Source Code

Complete Flutter-based employee management solution with automated attendance tracking, leave management, and payroll generation. Perfect final year project with Material 3 UI, SQLite database, and PDF salary slip generation.

Rs.499.00

Rs.1999

Advanced Image Steganography System - LSB Algorithm for Secure Data Hiding
available
Advanced Image Steganography System - LSB Algorithm for Secure Data Hiding

A sophisticated web-based steganography application that uses LSB algorithm to hide confidential text messages within PNG and BMP images. Perfect for final year projects in cryptography, information security, and image processing domains.

Rs.499.00

Rs.1999

JumpQuest - 2D Platformer Game with Phaser 3 | Final Year Project with Source Code
available
JumpQuest - 2D Platformer Game with Phaser 3 | Final Year Project with Source Code

Complete 2D platformer game built with JavaScript & Phaser 3 featuring smooth physics, enemy AI, particle effects, and polished UI - Perfect final year project with full source code and documentation.​

Rs.399.00

Rs.1999

AI-Powered Brain Tumor Detection System with Multi-Model Deep Learning Analysis for Medical Diagnosis
available
AI-Powered Brain Tumor Detection System with Multi-Model Deep Learning Analysis for Medical Diagnosis

Advanced deep learning web application with 84% accuracy using VGG16, ResNet50, and MobileNetV2 models for instant brain tumor detection from MRI scans with comprehensive visualizations and confidence scoring.

Rs.799.00

Rs.1999

India Air Quality Index (AQI) Prediction System with PM2.5 Forecasting | Best Python Final Year Project 2025
available
India Air Quality Index (AQI) Prediction System with PM2.5 Forecasting | Best Python Final Year Project 2025

Advanced machine learning-based air quality prediction system that forecasts PM2.5 levels and AQI for Indian cities using Random Forest algorithm with interactive visualizations and real-time predictions.

Rs.499.00

Rs.1999

MahaTraffic: AI Traffic Prediction and Smart Signal System for Pune (Django + LightGBM + YOLOv8)
available
MahaTraffic: AI Traffic Prediction and Smart Signal System for Pune (Django + LightGBM + YOLOv8)

Predict tomorrow's traffic jams at 16 Pune junctions, auto-suggest signal timings and count vehicles from photos with YOLOv8. A Django AI final year project that actually runs.

Rs.499.00

Rs.1999

StudyPilot AI Syllabus PDF to Personalized Revision Planner and Quiz Generator | Groq + Django
available
StudyPilot AI Syllabus PDF to Personalized Revision Planner and Quiz Generator | Groq + Django

Upload any syllabus PDF and get a day-by-day revision schedule built around your exam date, plus unlimited topic-wise quizzes generated by Groq's LLaMA models. A complete Python and Django AI final year project with source code and report.

Rs.499.00

Rs.1999

TriGuard Auth: Face + OTP Login System with Liveness Detection
available
TriGuard Auth: Face + OTP Login System with Liveness Detection

A Django login system that won't let anyone in with just a password, or a photo held up to the webcam. Face match, blink-and-turn liveness check, adaptive OTP, plus FAR/FRR evaluation your examiner will actually respect.

Rs.499.00

Rs.1999

CellPulse EV Battery Health Prediction Final Year Project (Flask + ML)
available
CellPulse EV Battery Health Prediction Final Year Project (Flask + ML)

Predict EV battery health % and failure risk with a Random Forest model (R² 0.9944) wrapped in a full Flask dashboard API, metrics, history, all included.

Rs.399.00

Rs.1999

AI Salary Predictor & Market Trend Dashboard (Flask + XGBoost)
available
AI Salary Predictor & Market Trend Dashboard (Flask + XGBoost)

A Flask + XGBoost web app that predicts AI/ML job salaries in real time and visualizes six years of global compensation trends from 10,000+ real records.

Rs.499.00

Rs.1999

Projects for JNTU submission

Browse our collection of 200+ projects suitable for JNTUH, JNTUK, and JNTUA submissions. Each project includes source code, comprehensive documentation, and free setup support. Our reports include the DFDs, UML diagrams, and test cases that JNTU evaluators expect.

Frequently asked questions

The core requirements are similar, but there are differences in credit allocation, regulation frameworks (R18/R22 vs R20), and some colleges have additional requirements like industry mentors or project expos. Check your specific regulation.

Yes, most JNTU-affiliated colleges now require a plagiarism report showing less than 25% similarity. Use Turnitin or similar tools before final submission.

The total project across both semesters is typically 10-12 credits. Phase 1 (7th semester) is 2 credits and Phase 2 (8th semester) is 8-10 credits.

Yes, and it is encouraged at some JNTU colleges. Industry-partnered projects demonstrate practical applicability and may get bonus marks from evaluators.

Some JNTUH-affiliated colleges organize a project expo where students present their work on posters to a panel. It is separate from the regular viva and may carry additional marks.

JNTU BTech CSE curriculum includes mini projects in earlier semesters (5th or 6th). The final year project in 7th-8th semester must be a major project with significant scope.

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