Pratham Khetrapal

Pratham Khetrapal

AI Developer • Full Stack Engineer • Innovation Enthusiast

3000+
LinkedIn Connections
700+
GitHub Contributions
5+
Internships
10+
Hackathons

Languages & FrameWork

AI & Machine Learning

Python TensorFlow OpenCV Scikit-learn Keras PyTorch

Full Stack Development

JavaScript React Node.js HTML/CSS Rust MongoDB

App Development

Flutter Dart Android Studio Kotlin Cross-platform

Data & Analytics

Pandas NumPy Matplotlib MySQL Data Scraping PowerBI Tableau

Others

Python C/C++ Java Rust MySQL Pine Script

Featured Projects


Flutter Firebase Dart Google Maps API REST APIs
HTML5 CSS3 JavaScript React Node.js MongoDB
Python TensorFlow OpenCV Scikit-learn Neural Networks
Python Pandas NumPy PowerBI SQL
Figma Canva Adobe XD UI/UX

SeatSavvy – Smart Restaurant Booking App

Built a restaurant booking app that helps owners manage their layout and services, while offering users a seamless booking experience:

  • Restaurant owners can create and customize seating layouts
  • Users can select and book preferred seats based on availability
  • Menu customization by owners and visible to users in the app
  • Home delivery option integrated for user convenience
  • Booking by specific date and time with real-time updates
  • Displays restaurant description, photos, and location details
  • Firebase used for user login and real-time database management
Flutter Firebase Firestore Firebase Auth Google Maps API
View Project

EdTech Learning App - During Internship

An education-focused mobile app enabling users to purchase and access online courses with a seamless learning experience:

  • Buy online courses with secure in-app payments
  • Access live and recorded video classes
  • Receive auto-generated certificates upon course completion
  • Track progress and manage enrolled courses in one place
Flutter Firebase Riverpod Certificate Genration
View Project

DualMode AI Chatbot – Online & Offline Assistant

Built a smart AI chatbot with dual functionality to provide seamless conversations in both online and offline modes:

  • Online version uses Google Gemini API for real-time intelligent responses via API calls
  • Offline version runs locally using a lightweight Hugging Face model
  • Ensures smooth conversational UI and quick response across both modes
  • Designed to toggle between modes based on network availability or user preference
Flutter Firebase Google Gemini API Hugging Face (TinyLLaMA)
View Project

VPN App

Developed a secure and user-friendly VPN app to enhance online privacy and prevent IP leaks:

  • Allows users to connect to global VPN servers to mask their real IP address
  • Enables location switching to bypass geo-restrictions and access region-locked content
  • Implements a Kill Switch to block internet traffic if VPN disconnects, ensuring no IP leak
  • Includes DNS and WebRTC leak protection for full privacy coverage
  • Designed with a smooth and intuitive UI for seamless user experience
Flutter Http API
View Project

NIET App - for my College

Developed an all-in-one campus app for NIET to streamline student services and centralize college resources:

  • Interactive notice board for real-time updates and announcements
  • Student portal with fee payment and detailed academic/financial records
  • Integrated AI-powered chatbot for instant query resolution
  • Access to online library resources for study and research
  • Dedicated section showcasing all student clubs and activities in one place
Flutter Firebase Online Payement
View Project

Towed Vehicle App - During Internship

Developed a Towed Vehicle App to help citizens and traffic police manage and locate towed vehicles efficiently:

  • Enables users to check online if their vehicle has been towed from a no-parking zone
  • Displays exact location and contact details of the impound lot for retrieval
  • Helps traffic police maintain and update a large, organized database of towed vehicles
  • Addresses the common issue of no centralized platform to verify vehicle towing status
  • Improves transparency and reduces confusion for vehicle owners
Flutter Firebase Google Map API Image to Text
View Project

Hotel Booking

Developed a hotel booking website that offers users a smooth and personalized booking experience:

  • Users can search and book hotels based on location and distance from them
  • Supports check-in and check-out date selection for accurate availability
  • Displays hotel listings with photos, descriptions, and amenities
  • Sorts hotel results dynamically based on user’s current or searched location
  • Designed for an intuitive and responsive user experience
HTML5 CSS3 JavaScript
View Project

Arogya Setu - During Internship

Led the team at Arogya Setu (a HealthTech startup) as a Full Stack Developer to build an AI-powered health diagnosis platform:

  • Users input their symptoms to receive recommended medical tests from our AI model
  • QR code generated for each user session, allowing doctors to scan and access patient history
  • Implemented blockchain technology to securely store and manage medical data
  • Ensured secure, scalable, and user-friendly frontend and backend architecture
  • Built for real-world healthcare usage with data privacy and portability in mind
HTML5 API Own AI Model
View Project

GroceryHive

Developed a fully functional e-commerce website using WordPress, tailored for seamless product browsing and transactions:

  • Built using Elementor for drag-and-drop design and responsive layout
  • Integrated WooCommerce for product listings, cart, and secure checkout
  • Customized product pages, categories, and filters for better user experience
  • Included order tracking, user account management, and payment gateway support
  • Designed with a modern, user-friendly interface to boost engagement and sales
WordPress WooCommerce Elementor
Visit Website

WeatherWise

Developed WeatherWise – a smart weather forecasting website enhanced with AI-driven travel recommendations:

  • Displays real-time weather data for any searched location using weather APIs
  • Integrated AI feature that suggests clothing based on the weather to help reduce unnecessary travel luggage
  • Advises users whether it’s the right time to visit a destination based on forecast trends and weather conditions
  • Improves travel planning with intelligent suggestions for comfort and efficiency
  • Designed with a user-friendly interface for seamless experience across devices
JavaScript Weather API Html
View Project

Face Recognition Attendance

Developed a face recognition-based attendance system to automate identity verification and record keeping:

  • Used Python and OpenCV to detect and recognize faces in real time
  • Automatically marks attendance upon successful recognition
  • Maintains a secure and structured database of attendance records
  • Reduces manual effort and enhances accuracy in tracking presence
  • Designed for classrooms, offices, or events requiring automated check-ins
Python OpenCV Tensorflow
View Project

Human Pose Estimation - During Internship

Interned at Edunet Foundation as part of Microsoft’s CSR initiative, where I collaborated with Microsoft experts on an AI-driven project:

  • Worked on a Human Pose Estimation system to detect and analyze human body posture
  • Trained models to interpret body keypoints using computer vision techniques
  • Explored real-world applications such as:
    • Estimating required seating at stations or offices based on people standing
    • Improving posture monitoring in healthcare and ergonomics
    • Correcting poses in yoga and exercise training environments
Python OpenCV Streamlit
View Project

Own AI Model

Created a custom AI model as part of my AI/ML learning journey to classify images of dogs and cats:

  • Built and trained a deep learning model to distinguish between dog and cat images
  • Used labeled datasets and applied data preprocessing and augmentation techniques
  • Evaluated model accuracy and performance using validation metrics
  • Designed for hands-on experience in computer vision, image classification, and model training
Python Tensorflow Keras
View Project

Data Scrapping - During Internship

During my internship at Mesh Foundation, I led a data scraping project to extract large-scale stock market data from the National Stock Exchange (NSE):

  • Extracted approximately 5000 files containing stock market data from NSE Nation Stock Exchange
  • Utilized automated data scraping techniques to collect and parse both structured and unstructured data
  • Employed Python libraries to clean, organize, and prepare data for further analysis
  • Enabled comprehensive analysis and insights into stock market trends and patterns
  • Gained valuable experience in real-world data extraction and processing methodologies
Python BeautifulSoup4 Automation-Script

Analysis of 10 year data

During my internship at Mesh Foundation, I conducted a comprehensive market analysis using historical data and scientific events:

  • Analyzed 10 years of stock market data using Python with NumPy, Pandas, and Matplotlib
  • Explored potential market behavior patterns during moon phases, solar and lunar eclipses
  • Visualized data trends to identify correlations between celestial events and market fluctuations
  • Performed data cleaning, transformation, and advanced plotting for insightful analysis
  • Applied real-world data science techniques to uncover unconventional market insights
Python Pandas Matplotlib

Certified Power BI - Microsoft

Successfully completed Microsoft-certified training in Power BI, gaining hands-on experience in business intelligence and data visualization:

  • Learned to create interactive dashboards and insightful reports using Power BI
  • Explored data modeling, DAX functions, and real-time analytics
  • Built end-to-end data pipelines from raw data to visual storytelling
  • Earned an official certification from Microsoft, validating Power BI proficiency
Certified Power BI Microsoft

Creating the UI

Effective UI design for optimal results

Figma Canva Photoshop
View Design

Experience & Leadership

AI & ML

Edunet Foundation - joint CSR initiative of Microsoft & SAP

Worked on a Human Pose Detection project using OpenCV and AI models under the guidance of a Microsoft expert. Explored future applications in crowd monitoring, posture analysis in healthcare, and asset tracking

Full Stack Developer

Prodigy Infotech – Web Development Intern

Built a dynamic Hotel Booking Page with real-time sorting based on user location and distance. Integrated MongoDB for secure data storage and retrieval, enabling efficient search and booking experience. Designed for scalability and user convenience.

Mobile App Developer

DESIZNIDEAZ

Developed an EdTech mobile app enabling users to purchase online courses and access live classes. Focused on seamless user experience, secure transactions, and scalable architecture for digital learning.

Data & Analytics

MESH Foundation, Mumbai

Performed web scraping using BeautifulSoup and conducted large-scale data analysis with Pandas, NumPy, and Matplotlib to extract insights and support data-driven decisions.

AI Head & Club Leader

Technical Club Leadership

Leading AI initiatives and mentoring team members in cutting-edge technologies. Organizing workshops and hackathons to foster innovation in the student community.

Let's Connect

Email

pratham10600@gmail.com

LinkedIn

3000+ Connections

GitHub

700+ Contributions

Phone

+91 6306468667
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