Intro
I am Allen Bijo, a highly motivated final year student pursuing my bachelor's degree at VIT Chennai, one of India's premier engineering institutions. With a keen interest in the cutting-edge field of machine learning, I have dedicated myself to building a strong foundation in this rapidly evolving domain. Through coursework and self-study, I have acquired proficiency in programming languages such as Python and its libraries like TensorFlow and Scikit-learn, enabling me to tackle complex problems and develop innovative solutions.
My passion for machine learning extends beyond the classroom, as I actively seek opportunities to apply my knowledge to real-world projects. I am currently exploring various domains, including computer vision, natural language processing, and predictive modeling, with the goal of gaining hands-on experience and contributing to the advancement of these technologies. With my analytical mindset, problem-solving abilities, and commitment to continuous learning, I am well-equipped to thrive in the dynamic world of machine learning and make a significant impact in my future endeavors.
Projects
Smart Alarm Clock
The Smart Alarm Clock is an innovative alarm system designed to adapt to your unique sleeping patterns. By learning from your snoozing behavior, it intelligently adjusts the alarm time to ensure you wake up at the optimal moment for your scheduled events.
- Technologies Used: Python, Keras, Calendar API, Traffic API
- Key Features:
- Adaptive alarm settings based on user behavior
- Integration with user’s scheduled events on Google Calendar
- Takes live traffic data to include travel time
- Achievements: Finalist in IEEE-Yesist Innovation Challenge held in Egypt
Emotion Bot
Emotion Bot is a questionnaire system that records video responses and analyzes emotions from both video and audio inputs. This project leverages advanced machine learning techniques to provide insights into the emotional states of users.
- Technologies Used: Python, OpenCV, Librosa, Keras
- Key Features:
- Questionnaire on browser wih video recording
- Video and audio emotion detection
Smart Glasses
The Smart Glasses project involves the development of IoT-enabled glasses that can identify faces from your contact book, provide relevant information, and execute commands based on gestures. Additionally, the glasses have a built-in threat detection system to alert users of potential dangers from behind.
- Technologies Used: IoT, Computer Vision, Contacts API, YOLO
- Key Features:
- Face recognition and information retrieval from Google Contacts
- Gesture-based command execution
- Threat detection and alert system
Rekognise
Rekognise is an advanced attendance system that utilizes face detection technology to automate the process of tracking and recording attendance. This system aims to increase accuracy and efficiency by reducing the need for manual input and minimizing errors.
- Technologies Used: MTCNN, OpenCV, Resnet
- Key Features:
- Automated face detection and attendance recording
- Integration with existing attendance management systems
- High accuracy and reliability
Auto Calendar Scheduler
The Auto Calendar Scheduler is designed to streamline your daily routines by integrating with Google Calendar. It automatically schedules recurring chores and tasks around your existing events, enhancing productivity and time management.
- Technologies Used: Python, Google Calendar API
- Key Features:
- Automatic scheduling of recurring tasks
- Seamless integration with Google Calendar
- User-friendly customization options
Discord Spam Detection Bot
This Discord bot employs a machine learning algorithm to detect and flag spam messages in real-time. It provides server administrators with various options to handle detected spam, ensuring a secure and enjoyable experience for all users.
- Technologies Used: Python, Machine Learning, Discord API
- Key Features:
- Real-time spam detection
- Customizable spam detection parameters
- Easy-to-use commands for server administrators
Experience
Research Intern at Indian Institute of Science Bangalore
Duration: Aug - Nov 2024
Role and Responsibilities:
- Conducted research under the supervision of experienced scientists and professors.
- Engaged in data collection, analysis, and interpretation to support ongoing research projects.
- Developed and implemented algorithms for data processing and analysis.
- Collaborated with a team of researchers to publish findings in academic journals.
Key Achievements:
- Contributed to a significant research project in the field of 3D Object Reconstruction.
- Did Significant research in Neural Radiance Fields and 3D Object manipulation.
Member, NSS VIT Chennai
Duration: Sep 2022 - Present
Role and Responsibilities:
- Participated in various community service activities organized by the National Service Scheme (NSS).
- Organized and led events focused on social issues, including health awareness campaigns, educational drives, and environmental conservation efforts.
- Worked collaboratively with peers to develop and implement solutions for community problems.
- Actively contributed to the planning and execution of events aimed at fostering community development and engagement.
Key Achievements:
- Participated in the debate community to take part in important debates.
- Recognized for outstanding contribution to community service by the NSS VIT Chennai chapter.
- Developed strong leadership, organizational, and teamwork skills.
Contact
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29.99 |
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100.00 |