Student Portfolio

What DSWallah Students Build

Not toy demos. Not Jupyter-only notebooks. These are production-grade applications with Docker, CI/CD, databases and cloud deployments � the same stack used by real AI startups.

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Featured Projects

AI Agents � RAG Systems � Chatbots � MLOps � Cloud

AI Agent
Multi-Tool AI Agent

An AI agent that can search the web, query databases, send emails and interact with external APIs � all through natural language.

PythonLangChainGeminiFastAPIPostgreSQLDocker
+-------------+ � User Input � +-------------+ ? +-------------+ � LLM Router � ? Gemini / GPT-4 +-------------+ ? +------------------------------+ � Tool Executor � � +------+ +------+ +------+ � � � Web � � SQL � �Email � � � �Search� �Query � � Send � � � +------+ +------+ +------+ � +------------------------------+
RAG System
Legal Document Q&A

Upload any legal contract and ask questions in plain English. Uses hybrid retrieval (vector + keyword) for accurate answers with source citations.

PythonpgvectorOpenAIFastAPIStreamlitRedis
+------------------------------+ � Document Upload � � (PDF / DOCX / TXT) � +------------------------------+ ? +------------------------------+ � Chunking + Embedding � � text-embedding-004 / Hugging� +------------------------------+ ? +------------------------------+ � pgvector + Redis Cache � � Hybrid: Semantic + BM25 � +------------------------------+ ? +------------------------------+ � LLM + Context + Sources � � Gemini / GPT-4 � +------------------------------+
AI Chatbot
Multi-Model Course Mentor

A RAG-powered chatbot that answers course questions using a knowledge base, with multi-model fallback and lead capture integration.

Node.jsOpenRouterGeminiRAGGoogle Sheets
+-------------+ � User Query � +-------------+ ? +-------------+ � RAG Search � ? Knowledge Base +-------------+ ? +------------------------------+ � Multi-Model Chain � � Gemini ? Llama ? Qwen � +------------------------------+ ? +------------------------------+ � Response + Lead Capture � � WhatsApp / Google Sheets � +------------------------------+
ML Pipeline
Customer Churn Prediction

End-to-end ML pipeline: data preprocessing, feature engineering, model training with MLflow tracking, FastAPI serving, and monitoring dashboard.

Pythonscikit-learnMLflowFastAPIGrafanaDocker
+----------+ +----------+ � Raw Data �--?� Clean + � � (MySQL) � � Feature � +----------+ � Engg � +----------+ ? +-----------------+ � Model Training � � MLflow Tracker � +-----------------+ ? +-----------------+ � FastAPI Server � � + Grafana Mon. � +-----------------+
Cloud Deploy
Production AI App on AWS

Full deployment: Docker containerization, CI/CD with GitHub Actions, AWS ECS/ECS deployment, monitoring with CloudWatch and custom dashboards.

DockerAWSGitHub ActionsFastAPICloudWatchTerraform
+----------+ +----------+ � Git Push �--?� GitHub � � (main) � � Actions � +----------+ +----------+ ? +-----------------+ � Docker Build + � � Push to ECR � +-----------------+ ? +-----------------+ � Deploy to ECS � � + CloudWatch � +-----------------+
? Computer Vision
Real-Time Object Detection

Live webcam object detection with YOLOv8, optimized with TensorRT, deployed as a FastAPI service with real-time WebSocket streaming.

PythonYOLOv8TensorRTFastAPIWebSocketDocker
+----------+ � Webcam / � � Video In � +----------+ ? +----------+ +----------+ � YOLOv8 �--?� TensorRT � � Detector � � Optimized� +----------+ +----------+ ? ? +--------------------------+ � FastAPI + WebSocket � � Real-time streaming � +--------------------------+

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