Top Final Year Project Ideas for Karnataka Students 2025

Adarsh Tripathi
May 1
4 min read

Updated: 5 days ago

As technology continues to evolve, final year engineering and computer science students across Karnataka are increasingly looking to apply their skills in meaningful and innovative ways. Final year projects are not just academic requirements—they’re platforms to solve real-world problems, especially in sectors like agriculture, security, healthcare, and environment. With a special focus on the regional relevance to Karnataka’s economy, infrastructure, and public welfare, here are some of the top project ideas for 2025 students.

1.Air Quality Prediction using Machine Learning with Alert System

With growing urbanization in cities like Bengaluru, Mysuru, and Hubballi, air pollution is a pressing concern in Karnataka. An Air Quality Prediction system using Machine Learning can be a game-changer in environmental management. This project involves collecting real-time air quality data from sensors or APIs and training a machine learning model to predict pollution levels (PM2.5, PM10, CO2, etc.) based on meteorological inputs. An alert mechanism can then notify the public or government bodies in case of hazardous air levels. This system can be integrated with mobile notifications or digital signage boards in affected zones. Such a project can contribute to smart city initiatives and health-oriented urban planning.

2.Plant Disease Detection Project

Agriculture is the backbone of Karnataka’s economy, especially in districts like Mandya, Raichur, and Hassan. However, farmers often struggle with identifying plant diseases at early stages. This project aims to solve that problem using Image Processing and Machine Learning. Students can build a system that takes images of infected plants and diagnoses diseases based on visual symptoms like leaf spots, discoloration, or curling. Using Convolutional Neural Networks (CNNs), the system can be trained to detect diseases such as blight, rust, or mildew in crops like paddy, sugarcane, or cotton. Early detection can help farmers act promptly, reducing crop loss and increasing yield. The solution could be packaged as a mobile app in Kannada for broader reach.

3.Cyber Threat Detection Using Machine Learning

As Karnataka continues to grow as an IT hub, with Bengaluru at its core, cybersecurity threats are becoming increasingly sophisticated. A Cyber Threat Detection System using machine learning can monitor and flag suspicious activities like phishing, unauthorized access, or malware intrusions. This project could involve training a classification model using real network traffic datasets to identify anomalies or attacks. Students can implement intrusion detection systems (IDS) that use algorithms such as Random Forest, Support Vector Machines, or Neural Networks. This project is highly relevant to companies and institutions that manage sensitive digital infrastructure, making it an industry-aligned and impactful academic effort.

4.Live Fake News Detection System using Machine Learning

The rise of social media and digital news platforms has led to a rapid spread of misinformation. Karnataka, being a politically and socially active state, is no exception. A Live Fake News Detection System can play a critical role in curbing misinformation. This project can involve scraping real-time news articles and social media posts, analyzing their content, and using Natural Language Processing (NLP) to classify them as real or fake. Techniques like TF-IDF, BERT embeddings, and logistic regression can be used to train the model. This tool can be particularly beneficial during election periods or during health crises where misinformation can be dangerous. Integration with browser plugins or messaging platforms can increase its usability.

5.Network Anomaly Detection System Project

With the digitization of education, healthcare, and banking services in Karnataka, network anomalies can lead to major disruptions. A Network Anomaly Detection System can identify unusual patterns in network traffic that may indicate issues like data breaches, DDoS attacks, or hardware failures. Students can use unsupervised learning algorithms like k-means clustering or autoencoders to detect these irregularities without predefined labels. This project is ideal for students with interests in network security, data science, and cloud systems. It can also be extended to work in real-time and integrated into dashboards for IT administrators in colleges or enterprises.

6.Student Performance Analysis Project

The National Education Policy (NEP) implementation across Karnataka emphasizes holistic student development. To support this, a Student Performance Analysis Project can offer insights into academic trends using historical data. The system can predict outcomes such as final exam scores, drop-out risk, or subject-wise performance based on factors like attendance, internal marks, extracurricular involvement, and socio-economic background. Machine learning models like decision trees or linear regression can be used for this predictive analysis. This project is valuable for educational institutions seeking data-driven strategies to improve student outcomes and personalized learning paths.

7.Fake Product Identification by QR Code Using Blockchain

Counterfeit goods are a growing concern across sectors such as pharmaceuticals, consumer electronics, and agriculture. A Fake Product Identification System using Blockchain and QR Codes can offer a decentralized and tamper-proof way of verifying product authenticity. In this project, each genuine product is assigned a unique QR code linked to a blockchain ledger. Scanning the QR code reveals the product’s manufacturing history, batch number, and verification from the company’s blockchain node. This project not only enhances transparency and trust but also educates students in implementing blockchain technology practically. It can be tailored to Karnataka’s agricultural market by tracking seed or fertilizer authenticity.

8.Crowdfunding Using Blockchain Project

Traditional fundraising methods often lack transparency and efficiency. A Crowdfunding Platform using Blockchain can change that by enabling secure, decentralized donations for social, academic, or entrepreneurial initiatives. This project involves creating a platform where users can initiate fundraising campaigns, and donors can contribute using cryptocurrencies or digital wallets. Each transaction is recorded on a blockchain ledger, ensuring transparency and traceability. Smart contracts can be used to automate fund release based on milestones. This system can particularly benefit rural communities, student innovators, or small businesses in Karnataka seeking accessible funding. Integration with multilingual support can further increase its impact across diverse regions in the state.

Project Includes:

PPT
Synopsis
Report
Project Source Code
Base Research Paper
Video Tutorials