Developed a computer vision system to detect tire balancing marks accurately and implemented an intelligent segregation mechanism for cases of incorrect pattern detection.Integrated real-time feedback for continuous system optimization

• ✔The system plays a crucial role in automating quality control processes within tire manufacturing and inspection facilities.
• ✔ Platform & Skill: Raspberry Pi, Python, OpenCV, Yolov8 , Machine Learning ,Deep Learning ,AWS ,plc

Developed a predictive maintenance system for hydraulic curing machines in tire manufacturing. Utilizing predictive modeling and historical data, it proactively identifies machines deviating from expected operation times, sending daily automated emails to users for attention and improved cycle time.

• ✔The system plays a crucial role in automating quality control processes within tire manufacturing and inspection facilities.
• ✔ Platform & Skill: Machine Learning , Python, OpenCV, Predictive Modeling ,SMTP ,Telnet

Heart Rate Detection app is used computer vision colour saturation techniques to measure heart rate.

• ✔ The user places a finger on the smartphone camera, The light from the smartphone’s LED flash passes through the finger and the illumination/colour changes caused by the change in the blood volume due to the heartbeat is detected by the camera.
• ✔ This heart rate detection app helps to detect stress levels from heart rate values.
• ✔ Platform & Skill: Python, OpenCV, Flask, Android SDK, Java, Version Control: Github

This app is used computer vision techniques to detect horizontal lines in the LFA Device. This horizontal line helps to detect stress levels.

• ✔ User Capture the Image which fits in a custom camera overlay.
• ✔ Image cropped into QR code, LFA window.
• ✔ QR Code scanner helps to detect the validity of the LFA Device.
• ✔ With the help of OpenCV, the app detects the horizontal line in the LFA which helps to detect stress levels.
• ✔ Platform & Skill: Python, OpenCV, Android SDK, Java, Version Control: Github

Arresttb App is based on CNN artificial neural network model . This App is developed to assist the final diagnosis of tuberculosis . The ARREST-TB App aims to accurately detect , report and monitor TB and MDR TB.

• ✔ The app has a simple user Registration Process.
• ✔ The user is required to take the picture of the spin tube sample and the app will show the sample Result with the help of the CNN model.
• ✔ User can view , share and download the previous Test Reoprts.
• ✔ user can filter the test resutls of sample .

This app helping students and professionals preparing for various competitive Exams and Job Interviews.It has 10,000 + downloads and has an overall 4.8 rating.

• ✔ you can practice questions with or without a timer.
• ✔ The app is easy to get started with its intuitive design.
• ✔ The app designed to work for all screens.
• ✔ App Play Store Link E2Learn Hub

The SPCA (Sample Processing Control ) App is Bluetooth low energy (BLE) based app, It's is used for amplifying DNA rapidly. It helps to detect the presence of SARS_Cov-2, which causes Covid-19 and is also used for plant pathogen detection systems.

• ✔ Developed at Optics and Microfluidics Instrumentation (OMI) Laboratory, Department of Instrumentation and Applied Physics, IISc.
• ✔ The user needs to pair the PCR Device with the app through Bluetooth and start the test.
• ✔ The app has a simple user Registration Process.
• ✔ The DNA amplify only start after starting the test from the app .
• ✔ User can Save the protocol and edit the saved protocols .
• ✔ user can filter the test resutls based on the test id .
• ✔ User can view the Real-time temperature-time Graph on a App
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Sample Read out App is Bluetooth low energy (BLE) based PCR detection app,It's Used to display the result of the Plant-pathogen Detection system and detect the presence of SARS_Cov-2 which causes Covid-19.

• ✔ Developed at Optics and Microfluidics Instrumentation (OMI) Laboratory, Department of Instrumentation and Applied Physics, IISc.
• ✔ The user needs to place the DNA Amplified samples in PCR device , and pair the device to app .
• ✔ADC values will be display on app After placing samples in the device .
• ✔ Test results will dispaly in Graph and Excel Format.
• ✔ The app has a simple user Registration Process.
• ✔ The user can test the samples with Positive Control or Without Positive Control .
• ✔ User can Save and edit the protocol .
• ✔ user can filter the test resutls based on the test id .
• ✔ User can view Graph of previous test,share and downlond the excel test results files.

This app is used to diagnose anaemia disease after connecting USB of TestRight Device

• ✔ USB Serial Communication method used to fetch the Data.
• ✔ User Place the blood (test) sample in the device to detect the disease type.
• ✔ After Processing the test samples , user click on run button to fetch the data from device and check the final test results based on algorithm.

MITR LabSage is a modern solution that help keep your critical lab infrastructure compliant and your lab members safe.

• ✔ Multiple sensor modules to track important parameters such as temperature, humidity, aerosols, air quality installed at required locations inside the laboratory.
• ✔ These parameters are then available anywhere, anytime through a secure, easy to use the mobile application.
• ✔ For mobile laboratories, integrated GPS provides accurate location, speed, distance travelled and other key information

This app is used to diagnose anaemia disease, This app works for two different instruments TestRight and Denovix.

• ✔ The app shows both Screening and Confirmatory test results based on the algorithm.
• ✔After Processing The Test Right Instrument CSV Files the app shows Positive or Negative Test Results for Screening Test and shows the disease type for confirmatory Test .
• ✔ After Processing The Denovix Instrument CSV Files the app shows Test Results in table format .
• ✔ The confirmatory test shows the three test results Negative , Sickle Cell Disease , Sickle Cell Trait .

Monkey Pox Detector Web App helps to distinguish 'Monkeypox' cases from similar non-monkeypox cases. Along with the 'Monkeypox' class, the model included skin lesion images of 'Chickenpox'

• ✔ To obstruct its expeditious pace, early diagnosis is a must. But the confirmatory Polymerase Chain Reaction (PCR) tests and other biochemical assays are not readily available in sufficient quantities.
• ✔ Platform & Skill: Python ,CNN ,Tensorflow,Flask ,HTML,CSS,JS,Keras
• ✔ The web app designed to work for all screens.

The model predicts the amount of rainfall over a region. I used a Linear regression model for predictions.

• ✔ This dataset contains daily weather observations from numerous weather stations. The model output tells us how many inches of rainfall we can expect.
• ✔ It is important to exactly determine the rainfall for effective use of water resources, crop productivity and pre-planning of water structures.
• ✔ Platform & Skill: Scikit-learn ,Python