The Advanced DNA Forensic System
Pavan G P 1, Ria Bhushan 2, Sandhya U Solanki 3, Venika4, Vishal Kumar 5
1Pavan G P Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
2Ria Bhushan Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India 3Sandhya U Solanki Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India 4Venika Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
5Vishal Kumar Dept. of Information Science Engineering, AMC Engineering College, Karnataka, India
ABSTRACT- The Advanced DNA Forensic System is an intelligent, machine-learning- based application designed to support modern forensic investigations by analysing DNA sequences digitally. Traditional forensic DNA analysis requires laboratory procedures, manual interpretation, and significant time, which limits rapid decision-making during criminal investigations and victim identification. To overcome these challenges, this project integrates computational biology techniques with supervised machine learning to automate the classification and interpretation of DNA sequences.
The system allows users to upload DNA text files, which are then processed, cleaned, and converted into machine-readable numerical features. A trained classification model analyses the input sequence and predicts the corresponding DNA type or class with high accuracy. Additionally, the system includes a blood group prediction module, enabling quick inference based on genetic markers provided by the user. The application is built using Python, Flask, NumPy, Pandas, and scikit-learn, with a user-friendly web interface developed in HTML, CSS, and JavaScript.
This project demonstrates how machine learning can significantly accelerate forensic workflows by providing automated, fast, and computational analysis of DNA information. The proposed system can support investigative agencies, medical institutions, and research environments where rapid DNA-based decision-making is essential.
Keywords: DNA Forensics, Machine Learning, DNA Classification, Blood Group Prediction, Computational Biology, Genetic Analysis, Forensic Science, Python, Flask, scikit-learn, Sequence Processing.
