Sector: COMPUTER SCENCE
& IT
STUDENT PROJECT SCHEME 2025-2026
Project Proposal On
AI-Powered Cybersecurity Threat Intelligence
Platform
Submitted to
TAMIL NADU STATE COUNCIL FOR SCIENCE AND
TECHNOLOGY
(Department of Higher Education, Government of Tamil Nadu)
Submitted by
SARAVANAN M
SRIRAM V
SHIYAM S
SANTHOSH G
Under the Supervision of
Mr. P.Sathish M.E (Ph.D.)
Assistant professor/CSE
St.Josephs College of Engineering and Technology
TAMIL NADU STATE COUNCIL FOR SCIENCE AND
TECHNOLOGY
(Department of Higher Education, Government of Tamil Nadu)
Website: www.tnscst.tn.gov.in
STUDENT PROJECT PROPOSAL
Please fill all the details in this MS word file. Convert to pdf file, get it approved from the
project guide / head of the department and head of your institution. Keep ready the scanned
pdf file of 1) Signed Application form 2) Declaration and Endorsement and fill-up the Google
Form. Note: Handwritten proposals & multiple entries in Google form will not be accepted.
https://tinyurl.com/TNSCST-SPS-2025
1. Project Title: AI-Powered Cybersecurity Threat Intelligence
Platform
2. Sector (strictly choose only one): Computer Science & I.T
3. Name(s) of project guide(s):
1. Name: Sathish P
Designation / Department: Assistant professor/CSE
Email id: sathishsaran90@gmail.com
Contact No.:9940995109
4. Name of Team Members (Strictly not more than four
students in a batch): (Type names in Capital Letters as provided in your
college)
Name: SARAVANAN M
Year of Studying/Department/Course: IV Year/CSE
Email id: saravananmsd999@gmail.com
Mobile No:9600272990
Name: SRIRAM V
Year of Studying/Department/Course: IV Year/CSE
Email id: sriramgoki63@gmail.com
Mobile No.:7305260750
Name: SHIYAM S
Year of Studying/Department/Course: IV Year/CSE
Email id: shiyamcr78825@gmail.com
Mobile No.: 8825864435
Name: SANTHOSH G
Year of Studying/Department/Course: IV Year/CSE
Email id:santhoshganesh1302@gmail.com
Mobile No.:8680929954
5. Institution Details:
Name of the Institution: ST.JOSEPHS COLLEGE OF
ENGINEERING AND TECHNOLOGY
Institution category: Self Finance
TNSCST-SPS 2025 Page 2
Address:
A.S.NAGAR.ELUPATTI(VILLAGE),RAWASAPATTI(PO)THANJAV
UR(DT)
District:THANJAVUR
Pincode:613403
6. Introduction:
Cybersecurity threats are growing rapidly, targeting individuals,
banks, and government systems. This project proposes the
development of an AI-powered Threat Intelligence Platform that can
detect, analyze, and predict cyberattacks in real-time. Using
machine learning models trained on cyber threat datasets, the
system will identify phishing attempts, malware signatures, and
network anomalies. The platform will feature a dashboard for
visualization of attacks and provide automated alerts. This solution
will help institutions strengthen cyber resilience and protect
sensitive data.
7. Objectives of the project:
1. Develop an AI-based model for phishing and malware detection.
2. Implement network traffic anomaly detection using ML
algorithms.
3. Build a real-time monitoring dashboard for organizations.
4. Provide automated alerts & preventive suggestions.
8. Methodology:
Data collection from cyber threat repositories (PhishTank, Kaggle
datasets).
ML model training (Decision Trees, Random Forest, CNN for
URL/content detection).
Backend: Python (Flask/Django).
Dashboard: React.js / Angular.
Testing with simulated cyberattacks.
TNSCST-SPS 2025 Page 3
9. Workplan:
1. Literature Survey & Requirement Analysis (Month 1): Study of
existing tools, datasets, and design of system architecture.
2. Data Collection & Preprocessing (Month 2): Collect phishing and
malware datasets, clean and prepare them for training.
3. Model Development (Months 34): Train and test AI/ML models for
phishing and anomaly detection.
4. System Development (Month 5): Build backend, dashboard, and
integrate models.
5. Testing, Deployment & Documentation (Month 6): Validate
system with simulated attacks, deploy prototype, and prepare
report.
10. Expected Outcome of the project:
1. A working prototype of an AI-powered platform that can detect
phishing attacks, malware, and network anomalies in real-time.
2. Machine learning models trained and validated with benchmark
datasets, achieving high accuracy in threat detection.
3. A web-based dashboard for real-time monitoring and
visualization of cyber threats.
4. An alert system that notifies users/administrators about
suspicious activities.
5. A final project report, user manual, and demonstration video that
can serve as reference for future research and practical
applications.
TNSCST-SPS 2025 Page 4
11. Is the project proposed relevant to the Industry / Society?
Yes / No: yes
Yes The project is highly relevant to both industry and society.
For industry, it strengthens cybersecurity by detecting phishing,
malware, and network threats in real-time, which is crucial for
banks, IT companies, and e-commerce.
For society, it protects individuals from online fraud, data theft, and
financial scams, thereby promoting safe digital practice
12. Can the product or process developed in the project be
taken up for filing a Patent?
Yes / No:
Yes
Prior Art search done?
Yes/No:
Yes
A preliminary prior art search has been carried out through research
papers, IEEE journals, and existing cybersecurity tools to ensure that
the proposed system has innovative features and scope for further
development.
13. Budget details (The following is a tentative budget with
break-up details; it is subject to change depending on the
specific project requirements):
Budget Amount
a) Cloud resources / Computing setup (for 15,000
model training & deployment)
b) Datasets, APIs, and software licenses 6,000
c) Server and web hosting (1 year) 8,000
TOTAL 29,000
14. Has a similar project been carried out in your college /
elsewhere? If so furnish details of the previous project
and highlight the novelty & improvements
suggested in the present one:
TNSCST-SPS 2025 Page 5
Yes Similar projects on network security and phishing
detection using basic machine learning techniques have
been carried out in a few institutions and reported in
research papers. These projects were mostly limited to
static phishing URL detection or rule-based malware
identification, with lesser focus on real-time monitoring and
visualization.
15. Any other details (Please specify):
The proposed project will be carried out by a team of undergraduate
Computer Science students under the guidance of a faculty mentor.
The system will be developed using open-source tools and
frameworks to reduce costs and ensure sustainability.
The outcomes of this project can be extended for startup incubation
or as a commercial cybersecurity product in the future.
The project also provides student training and skill development in
AI, machine learning, and cybersecurity, which aligns with industry
needs.
16. SPS Coordinator (Identified by the college):
Note: To be identified by the Head of the Institution. The project
proposals must be submitted to TNSCST through SPS coordinator
designated.
Name: Prof. / Dr.C.Anand Chairman
Designation/Department: Associate Professor/Mechanical
Email id: mechanand2003@gmail.com
Contact No.:9842927212
Note: Any mismatch between the scanned PDF, the details filled in the Google Form, and the
hard copy as well as multiple submissions via the Google Form will lead to disqualification of
the proposal.
Name & Signature of the Name & Signature of the Name & Signature of the
Project Guide HOD Principal / Head of the
Institution (with seal)
TNSCST-SPS 2025 Page 6
DECLARATION
(From Project Students)
We, the project team hereby declare that the information provided in the enclosed project proposal
(Title of the Project: AI-POWERED CYBERSECURITY THREAT INTELLIGENCE PLATFORM
Branch:COMPUTER SCIENCE ENGINEERING College: ST JOSEPHS COLLEGE OF ENGINEERING
AND TECNOLOGY are true and correct to the best of our knowledge and belief. We understand that
the Tamil Nadu State Council for Science and Technology (TNSCST) will not entertain any changes to
the project title or the names of the team members under any circumstances.
We further declare that the proposed project work is original, not copied or purchased from any source.
We are committed to carrying out the project independently, with appropriate guidance from our
faculty and project guide, and by utilizing the facilities provided by our institution. We pledge to
maintain academic integrity, avoid plagiarism, and work sincerely and diligently to execute and
complete the project as proposed.
We understand that any false, incorrect, or misleading information provided in this proposal may lead
to disqualification or other consequences as deemed appropriate. We also authorize the sharing of the
project details contained in this proposal with TNSCST, Chennai.
We acknowledge that, if selected, our team is required to exhibit and present the project at the Annual
State-Level Seminar-cum-Exhibition organized by TNSCST.
The endorsement form for TNSCST, Chennai is enclosed herewith.
Name of the students with Register No. Signature with date
1. SARAVANAN M
2. SRIRAM V
3. SHIYAM S
4. SANTHOSH G
Name & Signature of project Guide Name & Signature of HOD (with
Seal)
TNSCST-SPS 2025 Page 7
ENDORSEMENT
(From College, endorsement to be taken in the Institution / Department Letter head)
This is to certify that the following students:
1. Mr. SARAVANAN M
2. Mr. SRIRAM V
3. Mr. SHIYAM S
4. Mr. SANTHOSH G
are bonafide final year students of the Department of COMPUTER SCIENCE ENGINEERING, enrolled
in the BACHELOR OF ENGINEERING degree program at our institution and it is certified that 2 copies
of Utilization Certificate (UC) and final report along with seminar paper will be sent to the Council after
completion of the project within specified timeline.
We hereby confirm that, if the project proposal submitted by the above-mentioned students under the
Student Project Scheme is selected by TNSCST, our institution will extend full support by providing
the necessary laboratory, computer, and infrastructure facilities required for the successful execution
of the project.
Furthermore, we assure that appropriate measures will be taken to ensure the project team
participates in the Annual State-Level Seminar-cum-Exhibition (if selected) and
exhibits/demonstrates their project.
If the student team or project guide fails to submit the completed project report and the Utilisation
Certificate within the timeline specified by TNSCST (if selected), our institution will ensure that the
sanctioned project amount is returned to TNSCST.
Name & Signature of Name & Signature of Name & Signature of the
Project Guide HOD (with Seal) Principal / Head of the
Institution (with Seal)
TNSCST-SPS 2025 Page 8
