Machine Learning Final Year Projects 2024

[{"selector":"#anim-3e7a7bd7-a429-45a6-a84a-3d4c05577efa","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] The following topics are designed specifically for students in their final year of study in Computer Science and Engineering (CSE), encompassing both Bachelor’s (Btech) and Master’s (Mtech) degrees. The program adheres to the guidelines established by the Institute of Electrical and Electronics Engineers (IEEE) and centers on machine learning initiatives that are pertinent to the academic curriculum and professional aspirations of students in the year 2024.

1. AnomaData (Automated Anomaly Detection for Predictive Maintenance)

[{"selector":"#anim-c11a80f7-eccc-4343-aa84-b39e9e179f9f","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7fe13ba3-a782-4da5-8456-63e477f3320c","keyframes":{"transform":["translate3d(0px, 165.58057%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a165ee2f-f55c-44ca-accf-e0f4da078fc8","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b9411c50-66f7-4196-a5d2-4216c8b17ae1","keyframes":{"transform":["translate3d(-114.92064%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Although system failure is a very general issue that can occur in any machine, predicting the failure and taking steps to prevent such failure is most important for any machine or software application

2. DocAssist (Building Intelligent Medical Decision Support System)

[{"selector":"#anim-b371b4df-7f13-4913-b633-9a8039145db3","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-ee2fe416-0ecc-4938-8a55-80ef4190122b","keyframes":{"transform":["translate3d(0px, 159.56557%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a250b718-770f-45a3-8d3a-15604b305dec","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-7de5b101-c36d-49b5-b949-e90ef27ef997","keyframes":{"transform":["translate3d(-114.46541%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b06cfd62-17ea-49cc-90de-8a54c8204122 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}] The objective of this project is to develop an intelligent medical decision support system that analyzes patient data to assist doctors in making informed decisions about the best treatment options for individual patient

3. Find Default (Prediction of Credit Card fraud)

[{"selector":"#anim-49e9fd25-290a-4d42-aa65-2b3f32caefb5","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-3aa29616-a478-49c3-8fc2-9e86c2426fe1","keyframes":{"transform":["translate3d(-115.18988%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-03eec8f0-390a-4cf2-9e18-fc8081399697","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-e808cd34-faf7-4e49-8db6-2889f86e1aec","keyframes":{"transform":["translate3d(0px, 137.80668%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b72dfdee-8f21-4a52-b095-7ff3e9d28cbe [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

4. Fire Detection Model using Deep Learning

[{"selector":"#anim-48642678-c3d7-4a7f-8792-aa623ce9a458","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-fe31fc60-b933-4900-9175-f14af14e2e9d","keyframes":{"transform":["translate3d(-114.87342%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-b339604a-2b07-4eb3-8aad-ee5e52cf7ab1","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-2da6a700-0bdc-4baf-afe5-de110feb5dfb","keyframes":{"transform":["translate3d(0px, 132.12700%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-0af0a1b0-3420-4621-87c0-00baa3498258 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

5. An Intelligent Mood Detection and Music Recommendation Application

[{"selector":"#anim-f1f6fa97-c240-45f8-b251-cdc90aa9c529","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-73e06dbc-cfc7-4627-8ed9-6392ca2e88be","keyframes":{"transform":["translate3d(-115.06024%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-cfddb025-dfe0-4a82-aec7-a96a76b9ae46","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-cc368f95-0fff-483b-96b7-5a38e5e49aaf","keyframes":{"transform":["translate3d(0px, 174.60313%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c25af39e-82f1-4fe3-b4b6-ffce822cba0d [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

6. Build intelligence to help customers discover products they may like & purchase

[{"selector":"#anim-bb1d7dff-af7e-4a53-b96a-08bda774e6ba","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-71ebf68f-620a-4f50-aa6c-2b96b9ded5bc","keyframes":{"transform":["translate3d(-115.18988%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a88c6040-0f90-4270-8454-059a4e15a015","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-795393c2-b150-453e-82e5-cfe54af5b5b1","keyframes":{"transform":["translate3d(0px, 137.80668%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-337cc307-6000-444d-b79d-5466afcf4f87 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

In conclusion, In the realm of Machine Learning Final Year Projects 2024, innovation meets ingenuity. From pioneering algorithms to groundbreaking applications, students have pushed the boundaries of possibility. These projects not only showcase technical prowess but also offer real-world solutions to complex problems. As the curtain falls on this chapter, it's evident that the future of AI is in capable hands.

[{"selector":"#anim-fd2ee26e-f84e-49b5-a441-85beda8e9373","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-52cc7b9d-2b4e-4b8e-9eaa-a269062fc92a","keyframes":{"transform":["translate3d(-114.51104%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-e06e8bca-7e37-49ab-880b-3b47f6ee1059 [data-leaf-element=\"true\"]","keyframes":{"transform":["translate(0%, 0%) scale(1)","translate(0%, 0%) scale(1)"]},"delay":0,"duration":3000,"easing":"cubic-bezier(.3,0,.55,1)","fill":"forwards"}]

Learn more in the blog

[{"selector":"#anim-6f765140-21a0-4278-8c29-77ed76751c59","keyframes":[{"offset":0,"transform":"translate3d(0, -275.17927%, 0)","easing":"cubic-bezier(.5, 0, 1, 1)"},{"offset":0.29,"transform":"translate3d(0, 0%, 0)","easing":"cubic-bezier(0, 0, .5, 1)"},{"offset":0.45,"transform":"translate3d(0, -77.380410724%, 0)","easing":"cubic-bezier(.5, 0, 1, 1)"},{"offset":0.61,"transform":"translate3d(0, 0%, 0)","easing":"cubic-bezier(0, 0, .5, 1)"},{"offset":0.71,"transform":"translate3d(0, -26.307138211999998%, 0)","easing":"cubic-bezier(.5, 0, 1, 1)"},{"offset":0.8,"transform":"translate3d(0, 0%, 0)","easing":"cubic-bezier(0, 0, .5, 1)"},{"offset":0.85,"transform":"translate3d(0, -9.878935793%, 0)","easing":"cubic-bezier(.5, 0, 1, 1)"},{"offset":0.92,"transform":"translate3d(0, 0%, 0)","easing":"cubic-bezier(0, 0, .5, 1)"},{"offset":0.96,"transform":"translate3d(0, -4.292796611999999%, 0)","easing":"cubic-bezier(.5, 0, 1, 1)"},{"offset":1,"transform":"translate3d(0, 0%, 0)","easing":"cubic-bezier(0, 0, .5, 1)"}],"delay":0,"duration":600,"fill":"both"}] [{"selector":"#anim-33d50735-5911-4346-b209-02c3a12cdabc","keyframes":{"transform":["scale(1)","scale(1.05)","scale(0.995)","scale(1)"],"offset":[0,0.33,0.66,1]},"delay":400,"duration":1600,"easing":"ease-in-out","fill":"both","iterations":1}] [{"selector":"#anim-d2140452-9d40-46e4-b238-4a10d53aba2a","keyframes":{"transform":["translate3d(120.08367%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-f1bef99c-6bf6-4c7e-9e2f-76bd3815e50d","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-460bdd80-dd43-4cd5-ab5b-6a5dac84a2cd","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}] [{"selector":"#anim-c3ac5dc8-e690-4ad6-b7d1-a08504f2d4b7","keyframes":{"transform":["translate3d(-277.27277%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-971db98b-9be9-4f74-b568-61c029178765","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-58c74beb-0856-4ada-9141-1938198f9c30","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}] [{"selector":"#anim-8ba4a8f5-4385-42ff-86fa-647bc44ff4f2","keyframes":{"transform":["translate3d(-271.73913%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-39ae96cc-6d9d-404c-9879-3848da740a6e","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"both"}] [{"selector":"#anim-c736bad8-7073-4778-ba3b-f9619a3fc992","keyframes":{"transform":["scale(0.15)","scale(1)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.4, 0.4, 0.0, 1)","fill":"forwards"}] Read More... The Engineering Behind The First Flight Arrow NEXT

Machine Learning Final Year Projects 2024

By: Engineer's Planet

1. AnomaData (Automated Anomaly Detection for Predictive Maintenance)

2. DocAssist (Building Intelligent Medical Decision Support System)

3. Find Default (Prediction of Credit Card fraud)

Credit card fraud is the unauthorized use of someone else’s credit card or credit card information to make purchases or withdraw cash. We have to build a classification model to predict whether a transaction is fraudulent or not

4. Fire Detection Model using Deep Learning

Lately, there have been many fire outbreaks which is becoming a growing issue and the damage caused by these types of incidents is tremendous to nature and human interests This project is aimed at building a Fire Detection Model using Deep Learning

5. An Intelligent Mood Detection and Music Recommendation Application

The objective of this project is to build an application that detects the mood of users using still images or videos and recommends music accordingly. The system will use image or video analysis to infer the user’s mood

6. Build intelligence to help customers discover products they may like & purchase

Your task is to develop a shopping recommender system that suggests relevant products to customers based on their preferences and browsing history, thereby increasing the likelihood of purchase and overall customer retention.

Learn more in the blog