Samita User
@samitauser
Full-stack developer building YatraAI, an AI heritage tourism platform with monument recognition and multilingual travel guidance.
IndiaWhat I'm looking for
At IIT Madras, I designed a streaming IP core for low-power computation, dynamic peak detection, and frequency-analysis histograms. I implemented and optimized its architecture using Vitis HLS and Vivado 2024 on an FPGA development board.
I developed YatraAI, a full-stack heritage tourism platform using React.js, TypeScript, Tailwind CSS, Flask, and CNNs. It features monument recognition, multilingual AI assistance, interactive maps, and travel-planning tools.
For my real-time human motion classification project with IIT Bhubaneswar, I developed and deployed an edge AI solution on ESP32 for Parkinson’s disease detection using IMU sensor data. The Python and Google Colab machine-learning pipeline achieved 85% classification accuracy.
At IIT Hyderabad, I implemented Python-based machine-learning workflows for data processing and model experimentation, and studied BCZT ceramics and their characterization. I’m interested in building responsive, scalable, user-centric web applications.
Experience
Work history, roles, and key accomplishments
Research Intern
IIT Madras
May 2025 - Jul 2025 (2 months)
Designed a streaming IP core for log-power computation, dynamic peak detection, and histogram generation for frequency analysis. Implemented and optimized the architecture using Vitis HLS and Vivado 2024 on an FPGA development board.
Research Intern
IIT Hyderabad
May 2024 - Jul 2024 (2 months)
Implemented Python-based machine learning workflows using Google Colab for data processing and model experimentation. Performed data preprocessing, feature analysis, and model evaluation on research datasets.
Education
Degrees, certifications, and relevant coursework
Gandhi Institute of Technology and Management (GITAM) University
B.Tech, Artificial Intelligence and Machine Learning
Grade: 9.01/10
Pursuing a B.Tech degree with a CGPA of 9.01/10, expected to graduate in 2026.
Sri Chaitanya College
Intermediate, MPC
Grade: 8.73/10
Completed MPC (Mathematics, Physics, Chemistry) with a CGPA of 8.73/10 in 2022.
Amar School
SSC, General
Grade: 9.0/10
Completed SSC with a CGPA of 9.0/10 in 2020.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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