Prajwal Ferrao
Final-year AI/ML student · Aspiring Software Engineer / Full-Stack / AI-ML Developer
Mangaluru, Karnataka, India
@prajwal_ferrao
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🎓 Bachelor of Engineering in Artificial Intelligence and Machine Learning at Nitte Mahalinga Adyantaya Memorial Institute of Technology (NMAMIT) · Graduating 2026
About
Final-year Artificial Intelligence and Machine Learning student with experience in data science and projects spanning computer vision, full-stack web development, and applied machine learning. Built applications for face-recognition attendance, fall detection, sports league management, and house-price prediction.
Experience
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Data Science InternL-Point, a unit of HireEdge Technologies Private Limited · Mangaluru, KarnatakaJun 2026 – Aug 2026
Contributed to machine learning and data science projects, applying programming and data-driven problem-solving skills. Worked independently and with a team on assigned project activities.
Education
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Bachelor of EngineeringNitte Mahalinga Adyantaya Memorial Institute of Technology (NMAMIT)Artificial Intelligence and Machine Learning · 2023 – 2026
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PUCGovindasa PU College2021 – 2023
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Class 10Chaithanya Public School2021
Skills
Tools / apps / platforms
Languages
Projects
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Real Estate Valuation MLScikit-learn, XGBoost, CatBoost, Pandas, Streamlit
Developed a house-price prediction dashboard using regression models and an interactive Streamlit interface. Compared multiple regression approaches and presented predictions through user-provided property inputs.
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IMC League S4 – Sports League ManagementNext.js, Supabase
Built a sports league platform for team creation, match scheduling, live scoring, and tournament progression. Designed administration flows for managing teams, fixtures, and match results.
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AegisFall AI – Vision-Based Fall DetectionMediaPipe, WebSockets
Developed a fall-detection application that analyzes human pose keypoints and triggers emergency alerts. Connected the monitoring interface to alert events through WebSockets for live status updates.
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FaceTrack AI – Face Recognition Attendance SystemPython, OpenCV, Flask
Built a biometric attendance application with face detection and recognition, member management, attendance recording, and CSV export. Developed a Flask web interface for registration and live recognition, with attendance records available for review and export.
Courses & certifications
- AINNOVATION 2025: Microsoft Azure Learning · 2025
- Machine Learning with Python – Level 1 · 2025
- Cloud Essentials
⚽ Extracurricular activities
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Incridea ’26 Crew Committee
Committee member for the Incridea ’26 event.
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Youth Red Cross member
Member of the Youth Red Cross.
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Sports Club participant
Participant in the Sports Club.