Anshita Rathore

Student

india
2roles
49skills
4education
3credentials

About

hey , im a student

Experience

Intern

River

jan 2025-feb 2026

Business Application Intern

River Mobility Pvt Ltd.

Jan 2026–Feb 2026 · Bangalore, India

Studied core concepts and workflows of SAP modules Finance (FI), Material Management (MM), and Production Planning (PP), including enterprise resource planning processes and module integration. Designed and developed a Scrum meeting project management tool to improve stand-up efficiency using Next.js, TypeScript, Tailwind CSS, Zustand, Recharts, and Lucide React.

Education

shoolini

BTech, CS

Shoolini University

B.Tech., Computer Science Engineering

Aug 2023–May 2027

CGPA: 9.25/10.00

National Cheng Kung University

Fall Exchange Semester

Aug 2025–Jan 2026

Teoler High School

Grade 12

2021–2022

Percentage: 93.5%

Skills

MLAIPythonCMySQLMachine LearningDeep LearningComputer VisionTransformer ModelsNeural NetworksDecision TreesNatural Language ProcessingSciPyScikit-learnTensorFlowPyTorchPandasGitVS CodePyCharmGoogle ColabJupyterVMware Workstation PlayerNext.jsTypeScriptTailwind CSSZustandRechartsLucide ReactSAP Finance (FI)SAP Material Management (MM)SAP Production Planning (PP)OpenCVPyQt5StereoBMSIFTVector embeddingsSimilarity searchLLM inferenceVector databasesPPO reinforcement learningSUMOGymTraCIStreamlitFaster R-CNNPascal VOCResNet-18CIFAR-10

Projects

Computer Vision Toolkit for Calibration, AR, and Matching

Implemented end-to-end camera calibration using chessboard images, estimating intrinsic and extrinsic parameters and lens distortion, and performing image undistortion with OpenCV. Developed stereo disparity map generation using StereoBM and SIFT-based feature detection and matching, integrated into a PyQt5 GUI.

University Chatbot using RAG (Retrieval-Augmented Generation)

Implemented a RAG-based chatbot for university-related queries by integrating vector embeddings, similarity search, and LLM inference. Indexed university documents using a vector database for context-aware question answering.

AI Adaptive Traffic Signal Optimizer

Built an AI traffic signal optimizer for Indian cities using PPO reinforcement learning and SUMO, coordinating three intersections to reduce average delay by approximately 30% and outperform fixed-time signals in mixed traffic. Created a prototype with GPS heatmap generation, custom Gym environment, TraCI integration, adaptive baseline, and Streamlit dashboard.

Object Detection and Image Classification with Deep Neural Networks

Trained a Faster R-CNN object detector on the Pascal VOC dataset and performed end-to-end inference. Implemented a ResNet-18 image classifier on CIFAR-10, tracking training and validation loss and accuracy and selecting the best checkpoint based on validation performance.