AI/ML Projects
1,164 AI/ML projects in the NammaProjects bank — final-year, mini and master's projects with source code, deployment guide, PPT and full training support included. Open any project to see its abstract and exact price.
1164 projects · Page 38 of 49
LLM Agents for Automated Data Analysis with Sandboxed Code Execution
Build an analyst agent that writes and runs code safely to answer data questions. You will learn sandboxing, agent verification and analysis reproducibility.…
Uncertainty-Aware Medical Image Triage (Public Datasets) with Edge Deployment
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn literature review methods, research methodology and technical paper writing.…
A Framework for Handwriting Recognition for Historical Kannada Documents with Dashboard Visualisation
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn statistical significance testing, ablation studies and reproducible experiment design.…
Sequence Models for Predictive Maintenance: Methods, Design and Evaluation
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn baseline comparison, experimental design and statistical significance testing.…
A Framework for Diffusion Models for Data Augmentation in Defect Imaging with Risk Stratification
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn reproducible experiment design, literature review methods and ablation studies.…
Adversarial Robustness of Vision Models — Comparative Evaluation
Study the problem, build the proposed method and evaluate it rigorously with confidence Scores. You will learn ablation studies, experimental design and error analysis.…
Domain Adaptation for Satellite Imagery — Comparative Evaluation
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn error analysis, experimental design and benchmark design.…
A Framework for Graph-Based Fraud Ring with Human-in-the-Loop Review
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn technical paper writing, ablation studies and baseline comparison.…
Continual Learning for Chat Assistants — Design and Evaluation
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn baseline comparison, technical paper writing and research methodology.…
A Framework for Handwriting Recognition for Historical Kannada Documents with Real-Time Alerts
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn technical paper writing, ablation studies and error analysis.…
Vision Transformer for Industrial Inspection: Methods, Design and Evaluation
Study the problem, build the proposed method and evaluate it rigorously with report Generation. You will learn research methodology, error analysis and technical paper writing.…
Personalised Federated Recommender Systems
Train recommenders across user devices without centralising interaction data. You will learn federated optimisation, personalisation methods and privacy analysis.…
A Framework for Graph-Based Fraud Ring with Drift Monitoring
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn research methodology, benchmark design and experimental design.…
A Framework for Active Learning for Annotation Budgets with Drift Monitoring
Study the problem, build the proposed method and evaluate it rigorously with drift Monitoring. You will learn experimental design, literature review methods and ablation studies.…
Diffusion Models for Data Augmentation in Defect Imaging — Comparative Evaluation
Study the problem, build the proposed method and evaluate it rigorously with risk Stratification. You will learn ablation studies, error analysis and benchmark design.…
Low-Resource Language Machine Translation — Framework and Benchmark Study
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn statistical significance testing, benchmark design and experimental design.…
Few-Shot Classification for Rare Defects — Framework and Benchmark Study
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn technical paper writing, experimental design and reproducible experiment design.…
Federated Learning for Hospital Networks with Mobile Inference
Study the problem, build the proposed method and evaluate it rigorously with mobile Inference. You will learn literature review methods, statistical significance testing and error analysis.…
Retrieval-Augmented Support Automation with Risk Stratification
Study the problem, build the proposed method and evaluate it rigorously with risk Stratification. You will learn baseline comparison, statistical significance testing and literature review methods.…
A Framework for Vision Transformer for Industrial Inspection with Mobile Inference
Study the problem, build the proposed method and evaluate it rigorously with mobile Inference. You will learn experimental design, statistical significance testing and baseline comparison.…
A Framework for Speech Enhancement in Noisy Factory Audio with Model Retraining Pipeline
Research, implement and evaluate the approach with benchmarks against strong baselines. You will learn experimental design, benchmark design and reproducible experiment design.…
A Framework for Sign Language Translation with Pose Models with Drift Monitoring
Study the problem, build the proposed method and evaluate it rigorously with drift Monitoring. You will learn ablation studies, reproducible experiment design and experimental design.…
Robust Watermarking for AI-Generated Content Detection
Embed and attack watermarks on generated text and images to test real-world robustness. You will learn watermark design, robustness evaluation and provenance systems.…
A Framework for Sequence Models for Predictive Maintenance with Drift Monitoring
Study the problem, build the proposed method and evaluate it rigorously with drift Monitoring. You will learn reproducible experiment design, literature review methods and research methodology.…