AI/ML Projects
1164 projects · Page 36 of 49
Water Complaint Urgency Grading System using Edge AI and Explainable Outputs
Design and build a grading system that scores and ranks cases so experts review the riskiest ones first. You will learn API integration, data validation and deduplication and report generation.…
Support Vector Machines-Based Subsidy Application Duplicate Decision Support System
Design and build a decision support system that turns raw records into predictions with clear explanations. You will learn multilingual UI design, API integration and audit trail design.…
Insurance Claim Document Completeness Estimation System with Mobile Inference
Create an estimation system with mobile Inference that predicts outcomes early enough for staff to act on them. You will learn data migration from paper registers, data validation and deduplication and multilingual UI de…
Government Scheme Beneficiary Matching Prioritisation Engine with Anomaly Flags
Design and build a prioritisation engine that turns raw records into predictions with clear explanations. You will learn user testing with field staff, database design for public services and dashboard design.…
AI-Powered Job Application Skill Gap Classification System
Design and build a classification system that classifies incoming items automatically and routes exceptions to humans. You will learn role-based access control, report generation and data validation and deduplication.…
Regional Language Notice Summarisation Recognition System using Transformer Models and Batch Scoring
Design and build a recognition system that turns raw records into predictions with clear explanations. You will learn audit trail design, role-based access control and multilingual UI design.…
Long-Context Document QA: Retrieval vs Full-Context LLMs Benchmark
Compare retrieval pipelines against full-context models on cost, latency and accuracy. You will learn benchmark methodology, context scaling behaviour and system selection.…
Crop Advisory Message Relevance Assessment Platform using Random Forests
Create an assessment platform with explainable Outputs that classifies incoming items automatically and routes exceptions to humans. You will learn mobile-first design, role-based access control and database design for p…
Reinforcement Learning for Energy-Aware Cloud Resource Allocation
Train allocation policies that cut energy while holding SLOs on realistic workload traces. You will learn RL for systems, trace-driven simulation and SLO-aware rewards.…
Adversarial Defence Evaluation for Face Recognition Systems
Attack a face recognition pipeline with physical and digital perturbations and test defences. You will learn adversarial ML methodology, defence evaluation and responsible disclosure.…
Few-Shot Learning for Industrial Defect Detection
Detect new defect types from a handful of examples and compare meta-learning approaches. You will learn few-shot methods, industrial dataset practice and deployment constraints.…
Graph Neural Networks for Supply Chain Risk Prediction
Model supplier networks as graphs and predict disruption risk propagation. You will learn graph representation learning, risk modelling and network features.…
Time-Series Foundation Models for Anomaly Detection in IoT Streams
Evaluate pretrained time-series models zero-shot on industrial anomaly benchmarks. You will learn foundation model evaluation, anomaly metrics and streaming constraints.…
Explainable Recommender Systems with Counterfactual Explanations
Generate 'what would need to change' explanations for recommendations and user-test them. You will learn explanation methods, user study design and recommender evaluation.…
Synthetic Data Generation for Balancing Medical Image Datasets
Generate synthetic rare-class images and measure when they help or hurt diagnosis models. You will learn generative augmentation, distribution shift and validation discipline.…
Knowledge Distillation for Real-Time Object Detection on Edge Devices
Distill a large detector into a small one and characterise the accuracy-latency curve. You will learn distillation techniques, edge profiling and deployment engineering.…
Cross-Lingual Transfer for NER in Dravidian Languages
Study how NER transfers across Tamil, Telugu, Kannada and Malayalam with limited labels. You will learn cross-lingual methods, annotation practice and language-family effects.…
Diffusion Models for Data Augmentation in Rare Defect Classes
Augment rare manufacturing defects with diffusion synthesis and measure detector gains. You will learn controlled generation, augmentation validation and defect taxonomy.…
Continual Learning for Streaming Fraud Detection Under Drift
Keep a fraud model current on drifting streams without full retraining. You will learn concept drift handling, replay strategies and online evaluation.…
Privacy-Preserving Split Learning for Hospital Collaborations
Train models across hospitals without moving raw data or full models, and audit leakage. You will learn split learning protocols, leakage analysis and clinical ML constraints.…
Multi-Task Learning for Autonomous Driving Perception
Train one network for detection, segmentation and depth, and study task interference. You will learn multi-task optimisation, loss weighting and perception benchmarks.…
Neural Machine Translation for English-Kannada with Back-Translation
Improve a low-resource translation pair using mined monolingual data and back-translation. You will learn low-resource MT, data augmentation and translation evaluation.…
Robust Speech Recognition for Noisy Factory Environments
Adapt ASR to machine-noise conditions and measure command accuracy on the shop floor. You will learn noise-robust ASR, augmentation strategy and domain evaluation.…
Causal Inference for A/B Testing in Recommendation Platforms
Move beyond naive A/B readouts with causal estimators for recommender experiments. You will learn causal identification, interference effects and experiment design.…