CV
Education
- Ph.D. in Computer Science and Engineering, Indian Institute of Technology Indore (Jul. 2022 - present)
- M.Tech. in Computer Science, Devi Ahilya Vishwavidyalaya, Indore, (Jul. 2017- Jun. 2019)
- B.E. in Computer Science and Engineering, Jawaharlal Institute of Technology, Khargone (Jul. 2013 - Jun. 2017)
Projects
- Automate the Traffic Sign Detection and Recognition (TSRD) in Varying Lighting Conditions
- Implemented an adaptive framework for real-world traffic scenarios, integrating a Fuzzy Inference System (FIS), an enhancement module, and an object detection network.
- The FIS dynamically decides if an image needs enhancement. The enhancement module enhances the brightness of the image while preserving color details. Finally, YOLOv8 is employed for TSRD.
- Traffic Sign Detection and Recognitions (TSDR) in Low-Quality Images
- Implemented a two-step method for TSDR, where signs are often hard to recognize due to poor visibility, blurriness, and bad lighting conditions.
- First, images are enhanced using a modified MIRNet model. Second, the YOLOv4 model recognizes the signs from the improved images.
- Real-Time Hand Gesture Recognition using CNN
- Real-time hand gesture recognition model captures webcam images and classifies the detected gestures in real time.
- The training utilized a dataset of American sign language alphabets, spanning from A to Z.
- Additionally, an accuracy comparison was carried out between training from scratch and applying transfer learning on the VGG16 model.
Publications
Work Experience
- Devi Ahilya Vishwavidyalaya, Indore (Jan. 2020 - May 2020)
- I have taught Computer Architecture and Data Mining.
- Curated course and conducted lab sessions.