Learn by building 25+ real-world AI applications used in industry. Every project is designed to strengthen your portfolio and prepare you for technical interviews.
Real-time conversational AI with streaming responses, conversation memory, vector-based document retrieval (RAG), and custom system prompts. Built to handle 10,000+ concurrent websocket connections.
A Python-based utility to automate the calculation, tracking, and reporting of student grades from raw CSV files.
Exploratory data analysis of historical IPL match data to uncover team performance trends and player statistics.
An interactive, real-time dashboard tracking COVID-19 spread across Indian states using Plotly and Streamlit.
A robust relational database schema and complex SQL queries to extract business intelligence from e-commerce sales data.
A statistical tool to analyze A/B test results, calculate p-values, and determine the significance of marketing campaigns.
An optimization algorithm to minimize transportation costs and maximize efficiency across a simulated supply chain network.
A multiple linear regression model that predicts real estate prices based on housing features and location data.
A classification model using XGBoost to assess credit risk and predict the likelihood of a borrower defaulting on a loan.
An unsupervised learning pipeline utilizing K-Means clustering to group customers based on purchasing behavior.
A highly optimized, modular machine learning pipeline with automated hyperparameter tuning designed for Kaggle competitions.
A containerized NLP model served via FastAPI that detects and filters spam messages in real-time.
A Random Forest classifier that identifies at-risk SaaS subscribers to help businesses reduce customer churn.
An anomaly detection system using Isolation Forests to identify malicious activity within network traffic logs.
A foundational computer vision project building a neural network from scratch to recognize handwritten digits from the MNIST dataset.
A real-time object detection system using YOLO and OpenCV to identify whether individuals in a video feed are wearing face masks.
An NLP pipeline that categorizes news articles into predefined topics using word embeddings and sequence models.
A fine-tuned BERT model capable of extracting key information and summarizing lengthy, complex legal documents.
A time-series forecasting model utilizing LSTM networks to predict future stock price movements based on historical data.
A full-stack application featuring a collaborative filtering algorithm to recommend movies based on user rating history.
A safety system that monitors a driver's eyes via webcam and triggers an alert if signs of drowsiness are detected.
A web-based interface for generating custom artwork using a fine-tuned Stable Diffusion pipeline.
An autonomous customer service chatbot powered by LLMs, designed to handle common queries and escalate complex issues.
A Retrieval-Augmented Generation system allowing users to chat with their internal company documents and PDFs.
An open-source LLM (Llama 3) fine-tuned with LoRA on medical datasets to provide accurate, domain-specific healthcare answers.
An agentic AI system that autonomously scrapes the web, synthesizes information, and drafts comprehensive research reports.
A next-generation search engine that matches candidates to job descriptions based on semantic meaning rather than exact keywords.
An AI tool that translates natural language questions into complex, executable SQL queries for non-technical users.
An end-to-end production pipeline featuring model tracking, automated CI/CD deployment, and real-time inference monitoring.
A cloud-native machine learning service deployed on AWS SageMaker that automatically scales based on incoming API traffic.
A comprehensive system design document and architectural implementation plan for a high-throughput recommendation engine.
A complete product specification outlining the ROI, technical requirements, and deployment strategy for an enterprise AI solution.