I have a solid foundation in languages such as Java, C, C++, Python, R, HTML, CSS, Dart, and React Javascript, as well as a strong knowledge of technologies such as TensorFlow, PyTorch, Keras, and Django, which allows me to tackle a wide range of diverse projects. I bring a versatile toolkit to the table. My experience includes handling databases on platforms like as MySQL and MongoDB, as well as using cloud services like Firebase. I thrive in collaborative workplaces and I am proficient with version control software such as Git and GitHub. I'm always extending my expertise, having recently completed the IBM Machine Learning Course on Coursera. My interests range across different disciplines, including Full Stack Development, App Development, Data Analysis, and Deep Learning.
With a strong emphasis on problem solving, creativity, teamwork, and adaptability, I bring a diverse mix of soft skills to any project or team setting. Whether it's developing creative solutions, effectively cooperating with colleagues, or adapting to changing conditions, I'm dedicated to providing excellent outcomes with a positive attitude and collaborative spirit.
Dive into the scope of my work, where a diverse range of projects thrive across numerous fields and cutting-edge technologies. Our endeavours, including app development, digital solutions, and artificial intelligence, showcase our creativity and skill.
The portal allows users to enter product descriptions to identify comparable items with consumer feedback. NLP insights enable to comprehend preferences, which aids decision-making and competitive analysis. Clients can visualize the data for clarity
A bus tracking application uses FlutterMap and the Openrouteservice API to provide real-time location updates. Users may track buses and anticipate arrivals, providing seamless and convenient boarding experiences
Developed a CNN-based ALPR model and a smart parking allocation algorithm to optimize space utilization and reduce traffic in automated parking systems. Enhanced user experience with real-time email notifications for parking space availability
A cutting-edge hybrid steganography solution ensures solid data security for text, images, and handwritten language by discreetly inserting important information, successfully safeguarding it against potential cyber threats
Speech Emotion Recognition (SER) aims to identify human emotions and affective states through speech by analyzing tone and pitch. This technology leverages the natural phenomenon used by animals like dogs and horses to understand human emotions
Developed a Custom Hand Gesture Recognition system using Convolutional Neural Networks (CNN) to enable intuitive and seamless human-computer interaction, enhancing user experience and expanding the possibilities of gesture-based controls
Developed an advanced Image Upscaling system utilizing Generative Adversarial Networks (GANs) to enhance image resolution and detail, delivering superior visual quality and transforming the way images are experienced