Top 5 Artificial Intelligence Project Ideas 2023 | Best AI Projects Ideas For 100% Placement

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If you are interested in artificial intelligence and Python programming, then this video is for you. In this video, I will show you the top 5 artificial intelligence projects that you can create using Python. These projects are:
A chatbot that can answer questions and have conversations with users.
A face recognition system that can detect and identify faces in images and videos.
A sentiment analysis tool that can classify text into positive, negative, or neutral emotions.
A recommendation system that can suggest products or services based on user preferences and behavior.
A speech recognition system that can convert speech to text and vice versa.
These projects are not only fun and exciting, but also very useful and practical. They can help you learn and apply the concepts and techniques of artificial intelligence, data science, and machine learning. They can also enhance your Python programming skills and portfolio.
So, what are you waiting for? Watch this video and discover how to create these amazing artificial intelligence projects using Python. And don't forget to like, share, and subscribe to my channel for more videos on artificial intelligence and Python programming. Thank you for watching!
Tags:
Artificial intelligence, AI projects, Python programming, machine learning, data science, chatbot, face recognition, sentiment analysis, recommendation system, speech recognition, innovative technology, AI tutorial, Python projects, AI applications
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Опубликовано:

3 окт 2024

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Комментарии : 37

@sake._.t 4 месяца назад

3:50 thank me later

@hamzasheikh4588 Месяц назад

thanks bro you have saved my time

@piyushyadav7710 Месяц назад

thank you nigga

@Mahabali23 28 дней назад

Thank you 😊

@P.V.Supritha-vt1fm 11 дней назад

Thank you 😊

@sukalroy9143 Год назад

one complete project video (including deployment) e.g. Color image using CIFAR 10 data set. It will help a lot. Thanks for the project recomendation.

@mariamkhan5323 2 месяца назад

such an amazing ,unique and intresting projects

@DANISH_SIDDIQUE 15 дней назад

I need these topics for my mini-project, can I use them for it ?

@mumbaikachallenge5526 26 дней назад

Amazing ❤️

@MoveMagician 8 месяцев назад

Bro, I'm 1st year student. How many programming languages should I have to know for further development of my Mind.

@meme_Overflow 6 месяцев назад

Cgpa pe dhyan dele I highly recommend I was given bad advice by seniors that do that do this , cgpa doesn't matter things like this

@humasiddiqui5379 5 месяцев назад

Only 1 java/c++/python . Master any one completely.

@SuryanshInstrumental 2 месяца назад

Coding is useless if you don't know where to implement it and why to implement, what to implement ☺️ I am in 2nd year, Started to learn C,C++ from 4th class, till now C,C++, Java, Js, Html css, Visual basic, C#, Python (advance level), And the most hard language ASSEMBLY LANGUAGE, But these all are useless, I only use Python and C++ for actual Implementation in my Robotic Projects😊

@p2_shorts 2 месяца назад

I have learned - c,java,python,c++ I would recommend that focus only on two languages anyof those. But as per me you should start with c and then focuss on only python and java

@Suchit_Plays07 2 месяца назад

You should dropout

@SamayLatent1 4 месяца назад

bhaiya mujhe end sem ke liye ek major project banana h jo kuch unique ho please suggest kardo

@darshanprajapat1223 4 месяца назад

Hi @LofiBot11. Mai aapko help kar sakta hu end sem ke project ke liye.. Interested ho to contact details message karo.

@B.SSadiya 2 месяца назад

Can you say wt are prerequisite courses to be learn to create fake review detection project And steps to follow

@Shrinath511 2 месяца назад

Sir Apka Education Background kya hai ap kis College se ho

@muhammadbilalmuhammadbilal5648 Месяц назад

bro i want to create website like Elevenlab is it possible for me to develop website like elevenlab which convert text to speech

@khucsingh20 3 месяца назад

Sir , how we Handwriting Detect ?

@ahmedali6543 6 месяцев назад

Bro mny AI ka project bnana h lkn mn beginner hn mjy bilkul b idea ni k kasy project bnaty hain,even k python b ni ati, kindly guide kr skty ho?

@hamzasheikh4588 Месяц назад

Bro then you should focus on basics projects as some of them has mentioned in the video but if you have a fyp group of 3 students then you should not try the basic projects but intermediate projects.

@codestudyindian13114 2 месяца назад

Kha se sikh skta hu main in sb languages ko jo AI me help kr skta h

@engg.5111 Год назад

bro can you please suggest best course on youtube/any other platform to learn ai and ml

@uncover_ai 11 месяцев назад

andrew ng courses for machine learning

@engg.5111 11 месяцев назад

@@uncover_ai is that a complete course ? it showing around 20 videos

@naveenkumarym2388 6 месяцев назад

hlo sir , i'm Naveekumar y m , i purcheased the 5days live course and also paied the 299 rupee money so then how can i access the course

@codingwithsagarcw 6 месяцев назад

You will receive email or call from team before class start dont worry

@24shubhambeloshe44 2 месяца назад

Source code diya karo bhai

@asfabano3941 6 месяцев назад

Yaar Jo title lagaya hai wo nahi bolte ho .. time berbad kerte ho .. bakwas ..

@blaze_boooby Год назад

Fake Review detector kaise banaye?

@codingwithsagarcw Год назад

Here's a brief structure and steps to build a fake review detector using AI: 1. Data Collection: - Gather a dataset of reviews labeled as real or fake. 2. Preprocessing: - Clean and tokenize the text data. - Perform feature engineering, like TF-IDF or word embeddings. 3. Model Selection: - Choose a machine learning or deep learning model (e.g., LSTM, BERT). 4. Model Training: - Train the model on the labeled data. 5. Evaluation: - Assess the model's performance with metrics like accuracy and F1 score. 6. Fine-Tuning: - Refine the model by adjusting hyperparameters. 7. Deployment: - Integrate the model into an application or service for real-time detection. 8. Continuous Improvement: - Continuously update the model with new data for better accuracy. 9. Monitoring: - Implement monitoring to detect model drift and maintain accuracy over time. 10. Scaling: - If necessary, scale the system to handle a large volume of reviews. Remember to maintain ethical considerations while building and deploying such systems.