AI Engineering Projects
Detailed engineering showcases detailing real-world problems, neural architectures, benchmark results, system challenges, and key technical learnings.
CareerAI
Job seekers often receive generic resume feedback and lack personalized career guidance, ATS optimization, and interview preparation within a single platform.
An AI-powered career coach that analyzes resumes, provides ATS feedback, generates personalized learning roadmaps, and prepares users for interviews using Google Gemini AI.
TripGenie
Planning multi-day trips requires researching destinations, accommodations, seasonal conditions, and daily itineraries across multiple platforms.
An AI-powered travel planner that generates personalized itineraries, recommends destinations, suggests accommodations, and provides intelligent travel assistance.
AI Diet Planner
Most diet planning applications provide generic meal plans instead of personalized nutrition recommendations.
An AI-powered nutrition assistant that generates personalized meal plans, calorie recommendations, and nutrition insights based on user preferences and goals.
Multi-Agent Marketing AI
Marketing teams often rely on disconnected tools and manual workflows for lead qualification, customer engagement, and campaign optimization.
A multi-agent AI system with adaptive memory that automates lead triage, customer engagement, and campaign optimization through collaborative AI agents.
Face & Hand Segmentation
Accurate segmentation of facial and hand regions is essential for gesture recognition, augmented reality, and human-computer interaction.
A deep learning-based segmentation project for identifying facial and hand regions from images to support vision-based applications.
Efficient Deepfake Detection Using AI (IEEE)
Hyper-realistic generative deepfakes can bypass traditional forgery detection systems after heavy video compression and social media re-encoding, making digital media authentication increasingly difficult.
An IEEE-published AI-driven media forensics framework for detecting manipulated facial content under heavy video compression and cross-platform re-encoding using deep learning techniques.
GMSAC — Gujarati Sentiment Analysis Corpus & Benchmark
Gujarati lacks large, high-quality benchmark datasets for sentiment analysis, limiting NLP research and model development.
A manually curated Gujarati sentiment analysis corpus with benchmark evaluations across multiple transformer models to support reproducible NLP research for low-resource languages.
Zomato Geospatial NLP Analysis
Restaurant review data contains valuable geographical and textual insights that are difficult to analyze at scale.
An end-to-end analytics project combining SQL, NLP, and geospatial visualization to uncover restaurant trends from the Zomato Bangalore dataset.
Credit Card Fraud Detection
Financial institutions require accurate fraud detection while minimizing false positives in highly imbalanced transaction data.
A machine learning pipeline for detecting fraudulent credit card transactions using feature engineering, model evaluation, and classification techniques.
Algorithmic Trading
Manual trading strategies struggle to react consistently to rapidly changing market conditions.
A quantitative trading project exploring algorithmic strategies, historical market analysis, and automated decision-making.