Hey It's Ritik

Founder and Working in in my tech-startup [WellBaked.tech] providing AI/ML solutions.

I have technical experience and interest in -

Datascience
Backend
Computer vision
Natural Language Processing
Cloud computing
IOT
Robotics

Projects

Company-work-environment-management

Detects whether the right person is sitting in front of the camera.
Do not collect private photos of faces and pose, only the mathematical data of it.
Tracks key points on the face (such as eyes, mouth) to identify specific activities.
Classifies the type of activity the user is performing (e.g. taking a phone call, looking away from the screen, sleeping, looking tired).
Lightweight and runs in the browser.
Sends summary data about activities to a central server in JSON format, without transmitting any images or videos.

Datamigrato

Datamigrato is a versatile Python package dedicated to simplifying the process of migrating data across multiple databases, including Cassandra, MongoDB, Firebase, and Firestore. Designed with scalability, ease of use, and a well-maintained code structure in mind, it offers a comprehensive solution for various data transfer strategies and optimizations, making it an ideal choice for projects of all sizes and an accessible platform for contributors.

Wide Range of Database Support: Migrate data between popular databases such as Cassandra, MongoDB, Firebase, and Firestore.
Scalability: Engineered for scalability to handle large datasets efficiently.
Ease of Use: Simplifies the migration process, reducing the complexity involved in schema conversions, CRUD operations, and connection management.
Optimized Data Transfer: Incorporates advanced data transfer strategies and optimizations to ensure fast and reliable migrations.
Well-Maintained Code Structure: The codebase is organized and documented, facilitating easy understanding and contribution by developers.
CI/CD Integration: Fully integrates into CI/CD pipelines for automated testing and deployment, ensuring code quality and reliability.

Interview Ready

Discover a new way to prepare for interviews with our AI-Powered Mock Interview Platform. Engage in realistic simulations, receive instant feedback and scores, and enjoy a seamless experience with Google authentication and Firestore database integration, all within a user-friendly Flask-based web app.

AI-Powered Mock Interviews: Tailored questions and feedback based on the user's domain and background.
Personalized Experience: Users can create personalized profiles with preferences for interviewer characteristics such as gender and language (English or Hindi), enhancing the customization of the practice sessions.
Intelligent Scoring System: Scores responses out of 10, with handling for non-applicable scenarios.
High-Level Security: Features Google authentication and robust session management to secure user data.
Real Interview Simulation: Offers mock interviews that replicate actual job interview scenarios in various domains such as IT, business management, psychology, civil services, and more.
Progress Tracking: Saves user progress for future sessions and provides visual progress indicators.
User-Friendly Interface: Seamless interaction with the AI assistant, with a clean and intuitive user interface.

Food Delivery Chatbot

This chatbot is designed to help you manage your inventory and track your sales. You can use it to keep track of your customers and their orders, so you can see which items are selling more this month and adjust your inventory To get started, type "add customer" into the chatbot and follow the instructions. Then, type "add product" and follow the instructions. Once you have added a customer and a product, you can track their orders by typing "track customer" and "track product." The chatbot will show you a list of all the orders that your customer has placed, as well as how many of each product they have ordered.
keeping track of your inventory.
tracking your sales.
seeing which items are selling more this month.
You can checkout the test chatbot for this project at Telegram or search for @Foodtest2bot from mobile app.
You can see sheet being updated as you add items in your order here.