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 48 of 49
Personalised News Recommendation with Bandit Algorithms
Recommend news with bandits that balance exploration and reader satisfaction. You will learn bandit algorithms, online learning and responsible recommendation.…
AI Grading Assistant for Descriptive Answers with Rubrics
Build an assistant that grades long answers against rubrics for teacher approval. You will learn assessment technology, rubric design and human-in-the-loop systems.…
Efficient Fine-Tuning of Vision Transformers for Medical Imaging
Fine-tune ViTs efficiently for diagnosis tasks and compare adaptation strategies. You will learn transfer learning, efficient tuning and medical imaging evaluation.…
Reinforcement Learning for Portfolio Optimisation with Risk Constraints
Optimise portfolios with RL that respects drawdown and turnover constraints. You will learn financial RL, risk-aware objectives and backtest discipline.…
Neural Operator Learning for PDE Surrogates in CFD
Learn operators that solve fluid PDEs orders of magnitude faster than solvers. You will learn scientific ML, operator learning and CFD validation.…
Multi-Agent Reinforcement Learning for Warehouse Coordination
Coordinate fleets of warehouse robots with learned cooperative policies. You will learn multi-agent learning, coordination mechanisms and simulation design.…
Robust Object Detection Under Adverse Weather Conditions
Make detectors survive fog, rain and low light, and prove it on benchmarks. You will learn robustness methods, augmentation strategy and safety evaluation.…
Knowledge-Grounded Dialogue Systems with Long-Term Memory
Build assistants that remember users across sessions and stay grounded in facts. You will learn memory design, dialogue evaluation and grounding methods.…
Diffusion Models for Medical Image Synthesis and Augmentation
Synthesise medical images and test when they improve diagnostic models. You will learn generative modelling, clinical validation and data governance.…
Transformer-Based Protein Structure Property Prediction
Predict protein properties from structure-aware transformer representations. You will learn computational biology, representation learning and benchmark practice.…
Self-Supervised Speech Representations for Low-Resource Languages
Pretrain speech representations where labelled data barely exists. You will learn speech SSL, low-resource methods and downstream evaluation.…
Causal Machine Learning for Treatment Effect Estimation
Estimate who actually benefits from a treatment using modern causal ML. You will learn causal identification, effect heterogeneity and policy learning.…
Bayesian Optimisation for Hyperparameter and Architecture Search
Tune models and architectures with sample-efficient Bayesian search. You will learn optimisation theory, surrogate models and AutoML practice.…
Edge Deployment of LLMs: Quantisation and Speculative Decoding Study
Run capable LLMs on edge hardware and characterise the speed-quality frontier. You will learn inference optimisation, decoding algorithms and edge systems.…
Multimodal Fake News Detection with Cross-Modal Consistency
Detect misinformation by checking whether images and text actually agree. You will learn multimodal learning, misinformation research and evaluation design.…
Spatiotemporal Forecasting of Urban Air Quality with Graph Networks
Forecast pollution across a city by modelling sensors as an interacting graph. You will learn spatiotemporal learning, environmental data and public-health applications.…
Few-Shot Segmentation for Satellite Imagery
Segment new land-cover classes from a handful of labelled satellite examples. You will learn few-shot methods, remote sensing and annotation economics.…
Human Activity Recognition from Wearable Sensors with Transformers
Recognise activities from wrist and phone sensors with attention models. You will learn wearable ML, time-series transformers and deployment constraints.…
Neural Radiance Fields for 3D Reconstruction of Heritage Sites
Reconstruct heritage structures in 3D from tourist-style photo collections. You will learn neural rendering, 3D vision and cultural heritage technology.…
Anomaly Detection in Industrial Time Series with Contrastive Learning
Detect equipment anomalies by learning what normal looks like across sensors. You will learn self-supervised anomaly detection, industrial data and evaluation.…
Explainable Credit Default Prediction with Monotonic Models
Build default models whose behaviour regulators and customers can understand. You will learn interpretable ML, credit risk and model governance.…
Machine Unlearning for Privacy Compliance in Recommender Systems
Remove a user's influence from a trained recommender and verify the removal. You will learn machine unlearning, privacy compliance and verification methods.…
Audio Deepfake Detection with Self-Supervised Embeddings
Detect synthetic speech using representations learned without spoof labels. You will learn audio forensics, self-supervised features and detection evaluation.…
Vision-Based Crop Phenotyping with Instance Segmentation
Measure plant traits automatically to accelerate crop breeding research. You will learn plant phenotyping, segmentation and agricultural research methods.…