Yasin Jodat

Academic

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Yasin Jodat
03124690800
44, Nisar Road, Westridge 2, Rawalpindi
LinkedIn:
Education
NUCES-FAST
BS(DS)
Data Science, ML/AL, Software Development
Beaconhouse School System
Maths, Physics, Chemistry
Lahore School of Learning
Maths, Physics, Chemistry
Projects
Final Project:
Intellistudy (Flutter, Python)
A mobile application that help students with their university life. The app and predict the grades, analyze assignment
complexity and produce a customized Schedule.
Semester Projects:
AI Chess Game (Python)
An Chess game which you can play against a AI bot
Audio to Text converter (Python)
Improved an Audio to Text converter using Transformers from Hugging Face
Work Experience
Robotic Process Automation Developer Intern, NETSOL
July 2023 - August 2023
Conducted a successful Proof of Concept (POC) project, focusing on process automation to optimize Jira workflow.
Skills & Tools
Professional Skills:
Communication, Leadership, Teamwork, Problem Solving, Critical Thinking
Technical
Skills:
Python, MERN Stack, AI\ML, Robotic Process Automation, Data Preprocessing and Analytics,
MLOPS, Data Mining
Achievements
Debates President in A levels
Training / Certification
Activities
Basketball
Table Tennis
Gaming
Interests
Technology, Automobiles
yasinjodat1390@gmail.com
https://www.linkedin.com/in/yasin-jodat-396545253/
Majors:
Pre Engineering (
)
Pre Engineering (
)
Automate-AI-powered YouTube content creator
Automate web app is being made, whilst keeping the perspective of content creators and
the problems faced by them. There is one single view of this app – Creator View – that lets
creators streamline the content creation process by leveraging the features provided by our
app to generate YouTube Short form video content (from our custom-trained text to video
model), by writing engaging scripts using the power of our custom Fine-tuned Llama-2-7b
model especially trained and tailored to create engaging YouTube shots. Creators can
generate engaging voiceovers, customized music, thumbnails, and much more just from a
textual prompt. Creators are given the independence to use these services as standalone
ones as well as an integrated one that gives end-to-end ready-to-upload videos just from a
textual prompt.
Features include:
 Topic Research
 Script Generation
 AI voice overs Generation
 AI short-form clip Generation from textual prompt
 AI Music Generation
 SEO-optimized Title and Description Generation
 AI Thumbnail Generation
Technology Used:
Python, Flask, LangChain, React
,Express, Node,MongoDB, Google
Colab
Supervisor Name:
Mr. Umair Arshad
Group Members:
Syed Husnain Bukhari(i20 - 0626)
03136320050
Anusha Zubair(i20 - 2454)
03040563405
Rabia Mustafa (i20 - 1853)
03467131004
ImageMart
ImageMart, a groundbreaking visual search system developed on Flutter, revolutionizes
image-based searches for users. In the initial stages of the process, images, along with
their respective categories, are fed into the pipeline. Here, GroundingDino accurately
identifies the objects within the specified categories and the object is cropped out. The
DINOv2 model then extracts key features from these images, which are subsequently
indexed using FAISS and stored in binary files, laying a robust foundation for streamlined
search operations.
The seamless connection between the Flutter application and the search system is
facilitated by FastAPI, ensuring efficient communication. At runtime, users interact with the
Flutter-based application to upload images directly from their mobile devices. Leveraging
YOLOv8 for real-time object detection, users can precisely select specific objects for
search. These chosen objects undergo feature extraction using DINOv2, and the resulting
features are then compared against the pre-indexed catalog utilizing FAISS.
ImageMart swiftly retrieves and presents the most relevant results, offering users a
seamless exploration experience. By integrating cutting-edge technologies and facilitating
efficient communication through FastAPI, ImageMart provides precise and expedient
visual search capabilities, proving indispensable across a wide array of domains.
Technology Used:
Python, FAST API, Flutter, OpenCV,
Transformers
Supervisor Name:
Dr. Asif Naeem
Co - Supervisor:
Team Upstart Ecommerce
Group Members:
Abdullah Basharat (i20 - 2446) –
+92 341 4301627
Aeiman Imtiaz (i20 - 0757) –
+92 348 5890915
Huzaifa Ehsan (i20 - 2651) –
+92 314 9396768
MentPhysique
Our voice assistant is meticulously crafted to uphold mental and physical well-being,
providing near real-time support and insights into emotional and physical states. It leverages
advanced mood analysis techniques to offer insights, fostering a balanced lifestyle that
harmonizes mind and movement.
Key Features include:
-
Emotion Detection: Our fine-tuned model analyzes text input to assess emotional
states in near real-time.
-
Mental Health Diagnosis: Utilizes questionnaires to diagnose conditions like anxiety
and depression.
-
Relaxation Techniques: Offers personalized suggestions such as guided meditation
and breathing exercises for stress relief.
-
Calorie Tracking: Allows users to log food items via voice or text, automatically
calculating and tracking calorie intake.
-
Workout Tracking: Tracks workout routines through voice or text commands with
near real-time progress tracking.
-
Progress Dashboard: Visualizes key health metrics over time, providing insights
into mental and physical health trends.
Technology Used:
Python, MERN Stack, Flutter
Supervisor Name:
Dr Ahmed Raza Shahid
Group Members:
Muhammad Ahmed Suhail 20I-0613 (+92-
3344454557)
Neha Shabbir 20I-0677 (+92-3445393663)
Muhammad Ahsan 20I-1787 (+92-
3185580682)
MoboHealth
MoboHealth is a mobile application that utilizes deep learning and machine learning
models to analyze Photoplethysmography (PPG) signals from fingertip videos, to predict
four vital health parameters including HbA1c, blood glucose, blood pressure, and blood
oxygen levels. Aimed at individuals seeking non-invasive health monitoring, MoboHealth
offers a convenient method to track vital health metrics via smartphones.
Key Features:
1. Remote Health Monitoring: Empowers individuals, especially those in remote areas,
with a convenient at-home method to track vital health metrics via smartphones,
eliminating the need for frequent visits to healthcare facilities and enhancing
accessibility to healthcare.
2. Dual Modes: Incorporates both a detailed, more accurate deep learning model and
a quick-result machine learning model for comprehensive health analysis.
3. Intuitive Dashboard and User-Friendly Interface: Provides users with a
comprehensive dashboard and an intuitive, easy-to-use interface, allowing
seamless navigation and interpretation of health data with ease, ensuring a user-
friendly experience.
4. Technological Innovation: Supported by a robust technological infrastructure,
MoboHealth offers innovative functionalities, empowering users to take control of
their health with confidence.
Technologies Used:
Flutter, Python,
OpenCV, Pytorch, Keras, Firebase, GitHub
Supervisor Name:
Dr. Faisal Cheema
Co-Supervisor Name:
Dr. Kifayat Alizai
Group Members:
Ibrahim Bin Umair (20i - 0567)
0342-0538780
Sana Fatima Ammad (20i - 0658)
0301-5006200
Azka Asim (20i - 2478)
0344-4183333
ScholarFlow
ScholarFlow serves as a critical resource, centralizing scholarship and admissions
application process for students.
Key Features:
-
Unified admissions and scholarship details.
-
Real-time alerts on deadlines and opportunities.
-
Personalized notifications based on user preferences.
-
Advanced search with filters for programs and universities.
-
Automated, near-time data collection and processing.
-
User-friendly interface with personalized account features.
ScholarFlow addresses the critical need for a unified source of information on higher
students, making educational opportunities more accessible and decisions more data
driven.
Technology Used:
Lang chain, Python, NodeJS,
NextJS, Apache Airflow, MongoDB
Supervisor Name:
Dr. Muhammad Asif Naeem
Group Members:
Ahmad Mujtaba (i19-1714)
Cell # 0310-
5267978
Hamza Gulzar (i19 - 1867)
Cell # 0319-
0817771
Arsalan Ahmad (i19 - 1875)
Ph. No: 0302-0333340
TalkTales
The TalkTales project is a pioneering initiative in the realm of news consumption, leveraging
state-of-the-art AI technologies to deliver a unique 2D News Narration experience. At its
core, the project aims to redefine the way news is presented and interacted with by
incorporating advanced models such as LLM, animation, and lip syncing. Users are
empowered to select their preferred news categories via a user-friendly Dropbox interface,
ensuring personalized content delivery. Central to the experience is the creation of a virtual
narrator, capable of delivering news content with remarkable realism through lifelike
gestures and real-time facial expressions. Moreover, users have the option to customize
the background of the virtual environment, enhancing immersion. To aid comprehension,
subtitles accompany the news content, providing additional support for language learners
seeking to improve their pronunciation skills. The platform ensures that news content
remains up to date, with real-time updates ensuring the latest information is delivered to
users. Beyond traditional news consumption, the TalkTales project offers diverse
applications, including educational news delivery, global news updates, entertainment
industry insights, and language learning support.
Technology Used:
Python, Mern, Flask, Tensor Flow
Google Collab, Visual Studio
Supervisor Name:
Mr. Umair Arshad
Group Members:
Sufian Ahmed  Shah (i20 - 2654)
Ahmed Hayat (i20 - 0695)
Fahad Maqbool (i20 - 0693)
YAIA - Your AI Assistant
Introducing a multilingual voice-activated AI application tailored for businesses seeking
enhanced operational efficiency and enriched customer interactions. This innovative
solution facilitates seamless communication across various digital platforms, enabling users
to engage with web content, documents, YouTube videos, and GitHub repositories.
Furthermore, it provides robust support for managing CSV files, facilitating data
visualization, and streamlining data processing tasks.
Beyond its conversational capabilities, this AI application offers comprehensive functionality
for efficient data handling and analysis. Users can leverage its integrated features to
navigate and manipulate CSV files with ease, empowering them to extract meaningful
insights from complex datasets. The application's advanced data visualization tools
enhance decision-making processes by presenting data in visually appealing formats,
fostering a deeper understanding of key metrics and trends.
Technology Used:
Python, Flask, Flutter, LangChains,
OpenAI, HuggingFace
Supervisor Name:
Dr. Muhammad Asif Naeem
Group Members:
Hamza Khan(i20-0583)
Muhammad Wisal (i20-0697)
Contact Details:
Muhammad Wisal - 03439791973
Hamza Khan - 03032333778

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