Annexure3b- Complete filing

INVENTION DISCLOSURE FORM

1.TITLE: AI-Powered Interview Preparation

2.INTERNAL INVENTOR(S)/ STUDENT(S):

A. Full Name Subrata Pal

Mobile Number +91 7001681546

Email subratapal2909@gmail.com

UID/Registration Number 12309852

Address of Internal Inventors Lovely Professional University, Punjab-144411, India

Signature

B. Full Name Yogesh Kumar

Mobile Number +91 6395993347

Email donutomar78@gmail.com

UID/Registration Number 12313226

Address of Internal Inventors Lovely Professional University, Punjab-144411, India

Signature
C. Full Name Shivanshu Sharma

Mobile Number +91 8899369275

Email sharmashivanshu7777@gmail.com

UID/Registration Number 12321571

Address of Internal Inventors Lovely Professional University, Punjab-144411, India

Signature

EXTERNAL INVENTOR(S) (if any):

Full Name

Mobile Number

Email

Address of External
Affiliations

Signature (Mandatory)

3.DESCRIPTION OF THE INVENTION:

A.PROBLEM ADDRESSED:

With the fast-paced and competitive nature of today's employment market, it is essential to
excel in an interview to get the job. The standard interview preparation techniques such as
study courses, coaching classes, and simulated interviews, however, typically require
considerable time, energy, and monetary input. Furthermore, these traditional methods may be
un-customised and not adaptive enough in real-time, preventing candidates from focusing on
their own particular deficits and enhancing themselves effectively.

The AI-Powered Interview Prep Platform uses the latest artificial intelligence and machine
learning technology to provide an intelligent, streamlined, and customised method of interview
preparation. Using Natural Language Processing (NLP), sentiment analysis, real-time feedback
mechanisms, and adaptive learning models, the platform enables individuals to prepare for
interviews in diverse industries, functions, and experience levels.

In contrast to generic interview preparation software, this AI-based platform customises its
suggestions and practice sessions according to individual performance, learning style, and
industry requirements. It gives instant feedback on speech clarity, confidence, body language
(if video-based), and technical correctness, so that the candidates can hone their answers and
build confidence in their communication skills.

With offerings such as AI-based mock interviews, interactive questionnaires, automated resume
scoring, and industry-focused recommendations, the platform equips candidates with effective
means of improving interview skills. For preparation on technical interviews, behavioural tests,
case studies, and industry-focused conversations, the user gets an overall and engaging
preparatory experience based on current hiring practices.

By disrupting the process of preparing candidates for interviews, the platform fills the gap
between employers and job seekers, improving the rates of hiring success and elevating career
opportunities in a changing job market.

B.OBJECTIVE OF THE INVENTION:

The AI-Powered Interview Preparation Platform aims to provide personalised, data-driven,

and interactive interview training using AI and machine learning. It enhances candidate
readiness through real-time feedback, mock interviews, and adaptive learning models
tailored to individual needs. The platform ensures efficient, accessible, and scalable interview
preparation for job seekers across various industries.

C.STATE OF THE ART/ RESEARCH GAP/NOVELTY:

S r Patent ID Abstract Research Gap Novelty

.
N
o.
 This The research gap The research gap lies
1 US11074495B2 specification lies in the lack of in the lack of a
covers a unified, unified, General-AI
General-AI system that integrates
advanced AI
system that advanced reasoning,
algorithms,
integrates cognitive layers, and
UUS11074 reasoning advanced adaptive learning for
systems, deep reasoning, diverse real-world
495B2 learning, NLP, cognitive layers, applications beyond
S11074495 Big Data and adaptive
learning for
narrow AI models.
analytics,
B2 computer
diverse realworld
applications
vision,
beyond narrow AI
autonomous models.
systems, and
various
AIdriven
applications
across multiple
domains.

US10796217B2 These systems and The novelty of this

2 methods conduct system lies in its
automated AIdriven adaptive
The research gap questioning, which
technical
lies in the limited dynamically adjusts
interviews by
integration of interview difficulty
analyzing a
emotional based on a candidate's
candidate's
intelligence and emotional state and
emotional state and
adaptive questioning response relevance.
answer relevance to Additionally, it
in existing
dynamically adjust
automated interview introduces
question type and automated
systems. Current
difficulty. generation of
methods lack real-
Additionally, they technical Q&A pairs
time cognitive
generate technical using world
assessment and
Q&A pairs using knowledge, enhancing
dynamic difficulty
world knowledge interview accuracy
adjustment based on
searches for a more and personalisation.
comprehensive
adaptive interview
world knowledge
process.
analysis.
 US11880806B2 These systems and The research gap The novelty of this
methods automate lies in the lack of system lies in its
candidate real-time AIdriven personality
3 assessments by analysis, which
personality
using speech-totext extracts personality
conversion and assessment and
contextual traits from interview
NLP-based responses using
personality understanding in
speech-to-text and
analysis on automated candidate
recorded interview evaluations. NLP classifiers. It
responses. uniquely correlates
Existing systems do personality scores
Personality scores
not effectively with question
are calculated and
correlate personality relevance, providing
presented via a user
traits with specific deeper insights for
interface, enabling
interview questions recruiters.
recruiters to
for deeper candidate
evaluate
insights.
candidates
efficiently.

3. Features & Functionalities:

3.1 User Profile & Skill Evaluation

Industry, role-based, experience-tailored setup of user profiles.
AI-driven results to gauge strengths & weaknesses.
3.2 Mock Interviews Powered by AI
AI-authored questions in real time.
Voice response with text version in case audio has issues.
Sentiment analysis with NLP to assess tone, confidence level, and
content quality.
3.3 Performance Analytics & Feedback
Real-time feedback on response quality, speech clarity, and body language.
AI-driven insights for improvement.
Dashboard for tracking progress.
3.4 Question Bank & Customisable Practice
Large question library organised by industry & difficulty level.
Job description-based custom quizzes.
Technical, HR, and behaviour question filter options.
3.5 Resume & Cover Letter Review
AI looks for ATS optimisation & grammar suggestions.
Automatic formatting and content improvement ideas.
3.6 Peer & Expert Review System
 Get reviewed by mentors, recruiters, or peers.
Ability to submit answers for expert review.
3.7 Personalised Learning Suggestions
Courses, articles, and practice sets curated by AI.
Daily exercises to solidify learning.
3.8 Integration with Job Portals
Integration with LinkedIn, Indeed, and other job sites.
Tips on most popular interview questions for a particular company.
3.9 Multilingual Support & Accessibility
Multi-language support for international reach.
Voice assistant support for accessibility.
3.10 AI-Based Behavioural Analysis
Monitors facial expressions, confidence, and eye contact.
Insights on speech rate and body language.

AI & Machine Learning Integration :

Our platform uses state-of-the-art Artificial Intelligence (AI) and Machine

Learning (ML) technologies to offer an intelligent, data-driven, and
personalised interview preparation experience.
These sophisticated capabilities allow real-time feedback, adaptive learning, and
interactive coaching, ensuring users sharpen their skills efficiently.

1. Natural Language Processing (NLP) for Response Analysis (i)AI-driven NLP

models scan verbal and written answers to determine content correctness,
fluency, and clarity.
(ii) Identifies keywords, grammar flaws, and relevance of context to
enhance answer framing.
(iii) Offers instant feedback to optimise responses for
readability and forcefulness.

2. Machine Learning for Adaptive Questioning

(i) ML programs adapt question complexity according to
user performance.
(ii) Monitors user improvement and learning tendencies to
customise interview simulations.
(iii)Formulates role-based and industry-specific questions dynamically.
3. Speech & Sentiment Analysis for Confidence Building
(i) AI analyses tone, pitch, speech rate, and pauses to
analyse communication efficacy.
 (ii) Sentiment analysis identifies stress levels, hesitation, and
emotional indicators to enable users to enhance
confidence.
(iii) Offers actionable feedback on enhancing vocal
presentation and minimising nervousness.

4. Chatbots & Voice Assistants for 24/7 Guidance

Chatbots enabled by AI give immediate interview tips, practice, and answer
correction.
5. Access 24/7 for practice and guidance unlimited.
Through the combination of AI and ML-enabled technologies, our
platform offers a personalised, data-driven, and constantly improving
interview preparation experience that enables users to attain interview
success with confidence.

Data Management & Security:

Our AI interview preparation platform ensures data security, privacy, and

compliancy is of utmost priority. We use strong encryption, regulatory
compliance, and secure cloud integration
to protect user information while enabling easy access to individualised interview
preparation.

1. End-to-End Encryption for Data Protection

(i) All user information, such as responses, performance statistics, and personal
data, is secured with AES-256 encryption.
(ii) Unauthorised access during interactions is avoided by secure data
transmission protocols (SSL/TLS).
(iii) Multi-factor authentication processes fortify the security of user accounts.
2. Adherence to Global Data Privacy Laws

(i) GDPR Compliance – Allowing users to have full control of their

personal data with the freedom to change or erase their files whenever needed.
(ii) HIPAA Compliance – In case users' sensitive information with regard to
career tests or personal background is entered, it is processed under health-
grade security protocols.
(ii) User Consent & Data Transparency – Clear-cut policies for data use
with explicit consent procedures prior to storing or processing any personal
information.

3. Secure Cloud Storage & Backup Integration

(i) Cloud infrastructure guarantees user progress, performance data, and

interview history are stored securely and readily available.
(ii) Redundant automated backups avoid data loss in case of technical errors.
(iii) Role-based access control (RBAC) limits data access to only authorised
users.
By combining leading security protocols, compliance with regulation, and cloud
storage encryption, our platform ensures a secure and confidential interview
preparation process that inspires confidence

Tech Stack :

Our AI-interview preparation platform is designed using a solid and scalable

technology stack to support high performance, real-time processing, and
optimal user experience across different devices. We combine state-of-theart
frontend frameworks, scalable backend, a robust database system, and potent
AI/ML models to provide a customised and interactive experience.

1. Frontend Technologies (User Interface & Experience)

The frontend is built to offer a user-friendly and interactive experience across web
and mobile platforms:
(i) React.js / Vue.js – employed for building the web app with
dynamic UI elements and instantaneous rendering.
(ii) Swift (for iOS) – Offers a smooth, native experience for iPhone and
iPad users.
(iii) Responsive Design – Optimised for desktops, tablets, and
smartphones with easy navigation.

2. Backend Technologies (API & Server-Side Logic) The backend takes

care of user authentication, processing data, executing AI models, and
API interaction: (i) Node.js – An event-driven, fast runtime for processing
real-time AI response and processing API requests effectively.
(ii) Django & Flask – Python frameworks for integrating AI/ ML
models, processing user responses, and analytics processing.
(iii) REST & GraphQL APIs – Facilitates seamless communication
between frontend and backend services.

3. Database Management (Storage & Retrieval)

There needs to be a good database system in place to store user profiles,
responses, analytics, and feedback generated using AI safely:
MongoDB (NoSQL) – For storing dynamic, unstructured user data such as
interview responses and feedback history.
(i) PostgreSQL (SQL) – For structured data such as user profiles, session logs,
and analytics.
(ii) Cloud-Based Storage – For storing data safely and being able to access it
on all devices.

4. AI & Machine Learning (Core Intelligence)

Our machine learning-based features are built on cutting-edge machine learning
models and NLP libraries:
(i) TensorFlow & PyTorch – For training as well as deploying speech analysis,
sentiment analysis, and adaptive learning models.
(ii) OpenAI API – Drives NLP-based functionalities such as response analysis,
answer improvement, and chatbot experience.
(iii) Hugging Face Models – Merges pre-trained transformer models for
sentiment analysis, speech-to-text, and resume optimisation.
Through the use of this extensive tech stack, our platform provides a scalable,
AIdriven, and intuitive experience, streamlining interview preparation and
making it more accessible.
Scalability & Future Enhancements :

Our interview preparation platform, powered by artificial intelligence,

is designed around scalability
and ongoing innovation. With advancing technology, we plan to incorporate
stateof-the-art developments to provide an immersive, data-based, and efficient
interview preparation process.

1. AR/VR Interview Simulations for Realistic Practice

(i) Immersive Interview Settings – Augmented Reality (AR) and Virtual

Reality (VR) will allow users to conduct virtual interview simulations that
mimic real-life interview situations, allowing them to practice in a virtual
business setting.
(ii) Advanced Soft Skill Training – Virtual Reality-powered simulations
will assist users in developing proper eye contact, hand movement, and
body position in a true-to-life interview room setting.

(iii) AI-Driven Virtual Interviewers – Users will communicate with

AIfueled avatars that will simulate actual-world interviewers and respond
dynamically based on responses.

2. Wearable Device Integration for Stress Level Measurement (i) Heart Rate &
Stress Monitoring – Smartwatch and fitness band integration (e.g., Apple Watch,
Fitbit, and Garmin) to capture physiological measures such as heart rate
variability (HRV) and stress levels during interview practice.
(ii) Real-Time Anxiety Detection – AI assesses stress levels and offers
customised relaxation exercises, breathing exercises, and guided coaching.

(iii) Performance Tracking Over Time – Users can track trends in anxiety
reduction, understanding their emotional stability prior to interviews.

3 Blockchain-Based Confirmation of Candidate Competencies

(i) Tamper-Proof Certification of Skills – Blockchain will be utilised to

generate provable digital certificates for candidates upon successful
completion of training modules. (ii) Employer Security Access – Employers
and recruiters are able to confirm candidate skills and mock interview marks
without fear of tampering. (iii) Decentralised Career Portfolio – Users can
have a secure, blockchaindriven record of their interview comments,
certifications, and skill upgrades.

4 Integration with Corporate Training Platforms

(i) Job Portals & LMS Platform Integration – Smooth integration with
LinkedIn Learning, Udemy, Coursera, and HR tools used in corporations to
upscale interview training.
(ii) Enterprise-Level Interview Coaching – Corporations may utilise the
platform to train personnel for internal elevations, leadership positions, and
technical tests. (iii) AI-Driven Training Suggestion – Organisations can utilise
data-driven insights to provide customised training for employees making career
changes. Through these future improvements, our platform will become an end-
to-end, AIdriven career development system, revolutionising how job applicants
and professionals get ready for interviews.

Tables :
Table 1: Key Features & Their Benefits
 Feature Description Benefits
AI-Powered Mock Simulated real-time
Realistic practice & feedback
Interviews interviews
Performance Analytics Tracks user improvement Personalized feedback & growth
Question Bank Extensive list of questions Covers all industries & difficulty levels
Optimized resumes for better job
Resume Review AI-powered ATS scanning
applications
Behavioral Analysis Analyzes tone & Improves confidence & delivery
expressions

Table 2: AI & ML Technologies Used

Technology Purpose
NLP (Natural Language
Analyzing spoken & written responses
Processing)
Adaptive learning based on user
Machine Learning
performance
Sentiment Analysis Evaluates user confidence & tone
Facial Recognition AI Tracks body language and expressions
Chatbots & Voice Assistants Provides 24/7 guidance & Q&A support
Flowcharts :

1. User Journey in the Platform :

2. AIPowered Mock

Interview Process
:
4. USE AND DISCLOSURE:

Question Yes No

A. Have you described or shown your invention/design to anyone or in any

conference?

B. Have you made any attempts to commercialize your invention (e.g., approached
companies)?
 C. Has your invention been described in any printed publication or other media (e.g.,
Internet)?

D. Do you have any collaboration with any other institute or organization on the same?

E. Is there any regulatory body or other approvals required?

5. PUBLIC DISCLOSURE:

6. MOU TERMS (if any):

7. POTENTIAL FOR COMMERCIALISATION:

Educational Technology: For enhancing coding education and training through

interactive, real-time feedback.

Software Development: As a tool for debugging and code optimisation in professional

development environments.

Corporate Training: To support technical assessments and continuous learning in the

corporate sector.

International Markets: With scalable, multilingual support, the system is poised for
global commercialisation.

8. COMPANIES FOR COMMERCIALISATION:

9. ROYALTY OBLIGATIONS:

10.FILING OPTIONS:
• (YES)Provisional / Complete / PCT Filing

OBJECTION CERTIFICATE

This is to certify that University/Organisation Name or its associates shall have no objection if
Lovely Professional University files an IPR (Patent/Copyright/Design/any other…….)
entitled "…………………." including the name(s) of,................. as inventors who is(are)
student(s)/employee(s) studying/ working in our University/ organisation.
Further Name of the University/Organisation shall not provide any financial assistance in respect
of said IPR nor shall raise any objection later with respect to filing or commercialisation of the
said IPR or otherwise claim any right to the patent/invention at any stage.