UPANYA CHEETI

Florida Institute of Technology, Melbourne, FL

• Developed a Secure Remote Authentication using Facial Recognition and Expressions . This is used to give a user friendly easy access and authentication through the web server . The authenticated user is asked to save the expressions of their choice as a password which is going to be live . This is my successful research where the accuracy is about 90% against the sophisticated spoofing attacks like 3D masks and deepfakes.

• Developed and Implemented Packet-Guide-AI, a project which is designed using the OpenAI's LLMs and Python backend Scapy which is also very much similar to the ChatGPT and is real-time packet analysis with an interactive UI for the user friendly access to know the systems Networks Packets running say example like UDP , TCP packets analysis . Successfully the data analysis was detected as 90% accurate which helped in the network traffic insights. This Project is open-sourced in the GitHub.

• Designed Stock Price Prediction Using Machine Learning Algorithms like the LSTM and Random Forest and was successful with the stock price predictions. This is a user friendly model which is used by the new invertors to but or sell the stocks according to the Candle Stick analysis . The process of using the Candel Stick is a new approach and was defined to be more accurate . This model was used on the Yahoo Finance Dataset using ML algorithms and the design is implemented by the use of various tools such as Pandas, NumPy, and Matplotlib to enhance decision-making processes in stock trading.

Hyderabad, India

• Worked as an enthusiastic software developer for the Project TV Show Analysis Using JavaScript . Here , the most vied TV Show and How many times did that particular TV Show was been watched by users is been analyzed by creating the HTML pages and interactive JavaScript applications which also enhanced user experiences.

Hyderabad, India

• Worked as a Microcontroller Programmer to test the working of PIC and 8051 microcontrollers in embedded systems and designed a model named Smart LIghting Systems Using PIR Sensor which was used for the Home Automation and were successful by testing the various microcontrollers and sensors which can be easily used by the authorized users for their own Home Security with minimum cost.

Hyderabad, India

• Cardio Vascular Disease Prediction Using the Machine Learning Algorithms was developed by acquiring the patient data and then the algorithms such as Stochastic Gradient Descent (SGD) was more accurate when compared to the Decision Tree and Random Forest . This project was developed to check how these ML algorithms work on a larger patient data and accuracy for SGD was achieved as 85%.